count_variants.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Count variants in each sample\n",
    "This Python Jupyter notebook counts occurrences of each barcode in each sample from Illumina barcode sequencing, and adds these counts to the codon variant table."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set up analysis\n",
    "### Import Python modules.\n",
    "Use [plotnine](https://plotnine.readthedocs.io/en/stable/) for ggplot2-like plotting.\n",
    "\n",
    "The analysis relies heavily on the Bloom lab's [dms_variants](https://jbloomlab.github.io/dms_variants) package:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import glob\n",
    "import itertools\n",
    "import multiprocessing\n",
    "import multiprocessing.pool\n",
    "import os\n",
    "import warnings\n",
    "\n",
    "import alignparse\n",
    "import alignparse.targets\n",
    "\n",
    "import dms_variants.codonvarianttable\n",
    "from dms_variants.constants import CBPALETTE\n",
    "import dms_variants.illuminabarcodeparser\n",
    "import dms_variants.utils\n",
    "import dms_variants.plotnine_themes\n",
    "\n",
    "from IPython.display import display, HTML\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "from plotnine import *\n",
    "\n",
    "import yaml"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set [plotnine](https://plotnine.readthedocs.io/en/stable/) theme to the gray-grid one defined in `dms_variants`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "theme_set(dms_variants.plotnine_themes.theme_graygrid())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Versions of key software:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using alignparse version 0.2.4\n",
      "Using dms_variants version 0.8.9\n"
     ]
    }
   ],
   "source": [
    "print(f\"Using alignparse version {alignparse.__version__}\")\n",
    "print(f\"Using dms_variants version {dms_variants.__version__}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ignore warnings that clutter output:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "warnings.simplefilter('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Parameters for notebook\n",
    "Read the configuration file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('config.yaml') as f:\n",
    "    config = yaml.safe_load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make output directory if needed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.makedirs(config['counts_dir'], exist_ok=True)\n",
    "os.makedirs(config['figs_dir'], exist_ok=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Input variant tables\n",
    "Initialize the table of barcode-variant pairs from the respective `process_ccs` notebooks for each background."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>target</th>\n",
       "      <th>library</th>\n",
       "      <th>barcode</th>\n",
       "      <th>variant_call_support</th>\n",
       "      <th>codon_substitutions</th>\n",
       "      <th>aa_substitutions</th>\n",
       "      <th>n_codon_substitutions</th>\n",
       "      <th>n_aa_substitutions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>CGG_naive</td>\n",
       "      <td>lib1</td>\n",
       "      <td>AAAAAAAAAACACCGG</td>\n",
       "      <td>6</td>\n",
       "      <td>GGC119GGT TTA200ACT</td>\n",
       "      <td>L200T</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>CGG_naive</td>\n",
       "      <td>lib1</td>\n",
       "      <td>AAAAAAAAAACATGAG</td>\n",
       "      <td>1</td>\n",
       "      <td>CAG16TGG</td>\n",
       "      <td>Q16W</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>CGG_naive</td>\n",
       "      <td>lib1</td>\n",
       "      <td>AAAAAAAAAAGCGACG</td>\n",
       "      <td>1</td>\n",
       "      <td>GTG156CAT</td>\n",
       "      <td>V156H</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>CGG_naive</td>\n",
       "      <td>lib1</td>\n",
       "      <td>AAAAAAAAAAGGAAAG</td>\n",
       "      <td>6</td>\n",
       "      <td>GTG110GGT</td>\n",
       "      <td>V110G</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>CGG_naive</td>\n",
       "      <td>lib1</td>\n",
       "      <td>AAAAAAAAAATATAGA</td>\n",
       "      <td>1</td>\n",
       "      <td>TAC47CCA</td>\n",
       "      <td>Y47P</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "variants = pd.read_csv(config['codon_variant_table_file'], na_filter=None)\n",
    "\n",
    "display(HTML(variants.head().to_html(index=False)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pull out a target sequence for matching to the barcode and flanking sequence regions. Note, in this pipeline this is ok because our different backgrounds don't have differing flanks or other features within the actual N16 region covered in Illumina sequencing. If ever placing in-line barcodes here in the future, we would need to modify this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get wildtype gene sequence for primary target\n",
    "targets = alignparse.targets.Targets(seqsfile=config['amplicon'],\n",
    "                                     feature_parse_specs=config['feature_parse_specs'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup to parse barcodes\n",
    "Read data frame with list of all barcode runs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading list of barcode runs from data/barcode_runs.csv\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>library</th>\n",
       "      <th>sample</th>\n",
       "      <th>sample_type</th>\n",
       "      <th>sort_bin</th>\n",
       "      <th>concentration</th>\n",
       "      <th>date</th>\n",
       "      <th>number_cells</th>\n",
       "      <th>R1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "      <td>SortSeq</td>\n",
       "      <td>1</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin2</td>\n",
       "      <td>SortSeq</td>\n",
       "      <td>2</td>\n",
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       "    </tr>\n",
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       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin3</td>\n",
       "      <td>SortSeq</td>\n",
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       "    </tr>\n",
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       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin4</td>\n",
       "      <td>SortSeq</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "      <td>SortSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>210621</td>\n",
       "      <td>275500</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin1-1_S85_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin1-2_S86_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin1-3_S87_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>SortSeq_bin2</td>\n",
       "      <td>SortSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>[/shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin2-1_S88_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin2-2_S89_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin2-3_S90_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>SortSeq_bin3</td>\n",
       "      <td>SortSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>210621</td>\n",
       "      <td>2128000</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin3-1_S91_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin3-2_S92_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin3-3_S93_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>SortSeq_bin4</td>\n",
       "      <td>SortSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>210621</td>\n",
       "      <td>3850000</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin4-1_S94_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin4-2_S95_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210629_D00300_1271_BHM55FBCX3/Unaligned/Project_tstarr/CGGexpr_lib2_bin4-3_S96_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_01_bin1</td>\n",
       "      <td>PSR</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>166552</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s1_b1_S1_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s1_b1_S1_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>PSR</td>\n",
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       "      <td>1321552</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s1_b2_S2_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s1_b2_S2_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
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       "      <td>PSR</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
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       "      <td>PSR</td>\n",
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       "      <td>210623</td>\n",
       "      <td>1056008</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
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       "      <td>PSR</td>\n",
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       "      <td>210623</td>\n",
       "      <td>226835</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s2_b1_S5_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s2_b1_S5_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>PSR</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>2109671</td>\n",
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       "      <td>lib1</td>\n",
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       "      <td>PSR</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>2116370</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s2_b3_S7_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s2_b3_S7_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_02_bin4</td>\n",
       "      <td>PSR</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>652024</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s2_b4_S8_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s2_b4_S8_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_03_bin1</td>\n",
       "      <td>PSR</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>638294</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s3_b1_S9_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s3_b1_S9_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_03_bin2</td>\n",
       "      <td>PSR</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>2990094</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s3_b2_S10_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s3_b2_S10_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_03_bin3</td>\n",
       "      <td>PSR</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>1205131</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s3_b3_S11_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s3_b3_S11_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_03_bin4</td>\n",
       "      <td>PSR</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>328641</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s3_b4_S12_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s3_b4_S12_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_04_bin1</td>\n",
       "      <td>PSR</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>1810068</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s4_b1_S13_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s4_b1_S13_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_04_bin2</td>\n",
       "      <td>PSR</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>2620843</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s4_b2_S14_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s4_b2_S14_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_04_bin3</td>\n",
       "      <td>PSR</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>530641</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s4_b3_S15_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s4_b3_S15_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_04_bin4</td>\n",
       "      <td>PSR</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>118642</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s4_b4_S16_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s4_b4_S16_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_05_bin1</td>\n",
       "      <td>PSR</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>4778551</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s5_b1_S17_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s5_b1_S17_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_05_bin2</td>\n",
       "      <td>PSR</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>353774</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s5_b2_S18_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s5_b2_S18_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_05_bin3</td>\n",
       "      <td>PSR</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>931</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s5_b3_S19_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s5_b3_S19_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>PSR_05_bin4</td>\n",
       "      <td>PSR</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>86</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib1_s5_b4_S20_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib1_s5_b4_S20_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_01_bin1</td>\n",
       "      <td>PSR</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>205712</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s1_b1_S21_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s1_b1_S21_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_01_bin2</td>\n",
       "      <td>PSR</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>1052179</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s1_b2_S22_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s1_b2_S22_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_01_bin3</td>\n",
       "      <td>PSR</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>2587244</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s1_b3_S23_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s1_b3_S23_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_01_bin4</td>\n",
       "      <td>PSR</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>1258113</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s1_b4_S24_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s1_b4_S24_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_02_bin1</td>\n",
       "      <td>PSR</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>92181</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s2_b1_S25_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s2_b1_S25_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_02_bin2</td>\n",
       "      <td>PSR</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>1595278</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s2_b2_S26_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s2_b2_S26_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_02_bin3</td>\n",
       "      <td>PSR</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>2631834</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s2_b3_S27_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s2_b3_S27_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_02_bin4</td>\n",
       "      <td>PSR</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>809181</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s2_b4_S28_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s2_b4_S28_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_03_bin1</td>\n",
       "      <td>PSR</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>212570</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s3_b1_S29_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s3_b1_S29_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_03_bin2</td>\n",
       "      <td>PSR</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>2734623</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s3_b2_S30_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s3_b2_S30_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_03_bin3</td>\n",
       "      <td>PSR</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>2024807</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s3_b3_S31_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s3_b3_S31_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_03_bin4</td>\n",
       "      <td>PSR</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>394498</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s3_b4_S32_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s3_b4_S32_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_04_bin1</td>\n",
       "      <td>PSR</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>522992</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s4_b1_S33_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s4_b1_S33_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_04_bin2</td>\n",
       "      <td>PSR</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>3416342</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s4_b2_S34_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s4_b2_S34_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_04_bin3</td>\n",
       "      <td>PSR</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>1023529</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s4_b3_S35_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s4_b3_S35_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_04_bin4</td>\n",
       "      <td>PSR</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>137633</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s4_b4_S36_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s4_b4_S36_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_05_bin1</td>\n",
       "      <td>PSR</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>4937652</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s5_b1_S37_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s5_b1_S37_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_05_bin2</td>\n",
       "      <td>PSR</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>852436</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s5_b2_S38_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s5_b2_S38_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_05_bin3</td>\n",
       "      <td>PSR</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>1912</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s5_b3_S39_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s5_b3_S39_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>PSR_05_bin4</td>\n",
       "      <td>PSR</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210623</td>\n",
       "      <td>123</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/PSR_lib2_s5_b4_S40_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/PSR_lib2_s5_b4_S40_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_01_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>9967</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s01-b1_S53_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s01-b1_S53_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_01_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>100694</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s01-b2_S54_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s01-b2_S54_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_01_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>910229</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s01-b3_S55_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s01-b3_S55_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_01_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4152079</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s01-b4_S56_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s01-b4_S56_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_02_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>78772</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s02-b1_S57_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s02-b1_S57_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_02_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>363643</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s02-b2_S58_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s02-b2_S58_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_02_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1099977</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s02-b3_S59_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s02-b3_S59_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_02_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3597621</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s02-b4_S60_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s02-b4_S60_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_03_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>165484</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s03-b1_S61_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s03-b1_S61_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_03_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>563920</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s03-b2_S62_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s03-b2_S62_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_03_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1517930</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s03-b3_S63_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s03-b3_S63_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_03_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>2863005</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s03-b4_S64_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s03-b4_S64_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_04_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>292375</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s04-b1_S65_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s04-b1_S65_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_04_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>715622</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s04-b2_S66_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s04-b2_S66_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_04_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>2461781</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s04-b3_S67_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s04-b3_S67_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_04_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1745862</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s04-b4_S68_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s04-b4_S68_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_05_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>410552</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s05-b1_S69_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s05-b1_S69_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_05_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1513776</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s05-b2_S70_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s05-b2_S70_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_05_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3204858</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s05-b3_S71_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s05-b3_S71_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_05_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>48951</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s05-b4_S72_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s05-b4_S72_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_06_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1352339</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s06-b1_S73_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s06-b1_S73_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_06_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3598153</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s06-b2_S74_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s06-b2_S74_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_06_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>98238</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s06-b3_S75_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s06-b3_S75_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_06_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>17</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s06-b4_S76_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s06-b4_S76_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_07_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4214830</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s07-b1_S77_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s07-b1_S77_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_07_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>814937</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s07-b2_S78_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s07-b2_S78_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_07_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>321</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s07-b3_S79_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s07-b3_S79_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_07_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s07-b4_S80_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s07-b4_S80_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_08_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4879499</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s08-b1_S81_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s08-b1_S81_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_08_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>166605</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s08-b2_S82_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s08-b2_S82_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_08_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>110</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s08-b3_S83_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s08-b3_S83_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_08_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>34</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s08-b4_S84_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s08-b4_S84_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_09_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4994518</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s09-b1_S85_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s09-b1_S85_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_09_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>97766</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s09-b2_S86_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s09-b2_S86_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_09_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>156</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s09-b3_S87_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s09-b3_S87_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TiteSeq_09_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>57</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s09-b4_S88_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s09-b4_S88_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_01_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>5023</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s10-b1_S89_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s10-b1_S89_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_01_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>85666</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s10-b2_S90_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s10-b2_S90_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_01_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>910355</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s10-b3_S91_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s10-b3_S91_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_01_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4087566</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s10-b4_S92_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s10-b4_S92_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_02_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>64354</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s11-b1_S93_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s11-b1_S93_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_02_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>377819</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s11-b2_S94_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s11-b2_S94_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_02_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1149394</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s11-b3_S95_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s11-b3_S95_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_02_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3595640</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s11-b4_S96_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s11-b4_S96_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_03_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>146993</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s12-b1_S97_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s12-b1_S97_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_03_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>585863</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s12-b2_S98_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s12-b2_S98_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_03_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1546007</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s12-b3_S99_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s12-b3_S99_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_03_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>2888203</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s12-b4_S100_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s12-b4_S100_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_04_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>229759</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s13-b1_S101_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s13-b1_S101_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_04_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>754199</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s13-b2_S102_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s13-b2_S102_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_04_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>2383948</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s13-b3_S103_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s13-b3_S103_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_04_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1851348</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s13-b4_S104_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s13-b4_S104_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_05_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>330918</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s14-b1_S105_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s14-b1_S105_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_05_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1498361</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s14-b2_S106_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s14-b2_S106_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_05_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3161208</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s14-b3_S107_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s14-b3_S107_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_05_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>54642</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s14-b4_S108_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s14-b4_S108_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_06_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1260056</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s15-b1_S109_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s15-b1_S109_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_06_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3701958</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s15-b2_S110_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s15-b2_S110_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_06_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>90277</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s15-b3_S111_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s15-b3_S111_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_06_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>19</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s15-b4_S112_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s15-b4_S112_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_07_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4182689</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s16-b1_S41_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s16-b1_S41_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_07_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>830786</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s16-b2_S42_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s16-b2_S42_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_07_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>273</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s26-b3_S43_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s26-b3_S43_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_07_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>20</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s16-b4_S44_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s16-b4_S44_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_08_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4893728</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s17-b1_S45_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s17-b1_S45_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_08_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>154510</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s17-b2_S46_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s17-b2_S46_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_08_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>83</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s17-b3_S47_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s17-b3_S47_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_08_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>23</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s17-b4_S48_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s17-b4_S48_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_09_bin1</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>5016672</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s18-b1_S49_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s18-b1_S49_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_09_bin2</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>86684</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s18-b2_S50_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s18-b2_S50_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_09_bin3</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>50</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s18-b3_S51_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s18-b3_S51_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TiteSeq_09_bin4</td>\n",
       "      <td>TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/210728_D00300_1288_AHMGMTBCX3/Unaligned/Project_tstarr/210624_s18-b4_S52_R1_001.fastq.gz, /shared/ngs/illumina/tstarr/210701_D00300_1272_BHM532BCX3/Unaligned/Project_tstarr/210624_s18-b4_S52_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_01_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>95588</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s01-b1_S1_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_01_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4168050</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s01-b2_S2_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_01_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4184690</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s01-b3_S3_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_01_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1183718</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s01-b4_S4_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_02_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3314375</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s02-b1_S5_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_02_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>5019870</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s02-b2_S6_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_02_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>648425</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s02-b3_S7_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_02_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>157814</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s02-b4_S8_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_03_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3125305</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s03-b1_S9_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_03_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>5256079</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s03-b2_S10_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_03_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>953327</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s03-b3_S11_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_03_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>120068</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s03-b4_S12_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_04_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>7469770</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s04-b1_S13_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_04_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>760060</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s04-b2_S14_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_04_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>36335</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s04-b3_S15_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_04_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>17293</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s04-b4_S16_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_05_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>6294823</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s05-b1_S17_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_05_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>151581</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s05-b2_S18_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_05_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3155</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s05-b3_S19_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_05_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1286</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s05-b4_S20_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_06_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>8590833</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s06-b1_S21_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_06_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>180075</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s06-b2_S22_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_06_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>2343</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s06-b3_S23_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_06_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>912</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s06-b4_S24_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_07_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>8613053</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s07-b1_S25_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_07_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>186532</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s07-b2_S26_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_07_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>690</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s07-b3_S27_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_07_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>684</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s07-b4_S28_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_09_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>8975223</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s09-b1_S29_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_09_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>268793</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s09-b2_S30_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_09_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>697</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s09-b3_S31_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>TuGG_TiteSeq_09_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>727</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s09-b4_S32_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_01_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>115152</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s10-b1_S33_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_01_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>5524687</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s10-b2_S34_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_01_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3023595</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s10-b3_S35_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_01_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>669346</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s10-b4_S36_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_02_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>3655690</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s11-b1_S37_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_02_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>5318467</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s11-b2_S38_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_02_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>484880</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s11-b3_S39_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_02_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>136565</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s11-b4_S40_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_03_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>2973732</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s12-b1_S41_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_03_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>5603928</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s12-b2_S42_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_03_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>830237</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s12-b3_S43_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_03_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>77414</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s12-b4_S44_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_04_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>9411050</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s13-b1_S45_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_04_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>868830</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s13-b2_S46_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_04_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>24669</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s13-b3_S47_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_04_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>15997</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s13-b4_S48_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_05_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>9099859</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s14-b1_S49_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_05_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>230472</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s14-b2_S50_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_05_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>12450</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s14-b3_S51_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_05_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>5709</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s14-b4_S52_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_06_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>9243226</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s15-b1_S53_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_06_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>207411</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s15-b2_S54_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_06_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>4539</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s15-b3_S55_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_06_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>1069</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s15-b4_S56_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_07_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>9230106</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s16-b1_S57_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_07_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>177944</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s16-b2_S58_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_07_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>502</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s16-b3_S59_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_07_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>684</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s16-b4_S60_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_09_bin1</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>9196329</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s18-b1_S61_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_09_bin2</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>2</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>279088</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s18-b2_S62_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_09_bin3</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>3</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>618</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s18-b3_S63_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>TuGG_TiteSeq_09_bin4</td>\n",
       "      <td>TuGG_TiteSeq</td>\n",
       "      <td>4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210624</td>\n",
       "      <td>731</td>\n",
       "      <td>[/shared/ngs/illumina/tstarr/220428_VH00699_111_AAATNWKM5/Unaligned/Project_tstarr/220420_s18-b4_S64_R1_001.fastq.gz]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(f\"Reading list of barcode runs from {config['barcode_runs']}\")\n",
    "\n",
    "barcode_runs = (pd.read_csv(config['barcode_runs'])\n",
    "                .assign(R1=lambda x: x['R1'].str.split('; '))\n",
    "                )\n",
    "      \n",
    "display(HTML(barcode_runs.to_html(index=False)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make sure library / sample combinations are unique:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert len(barcode_runs) == len(barcode_runs.groupby(['library', 'sample']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make sure the the libraries for which we have barcode runs are all in our variant table:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "unknown_libs = set(barcode_runs['library']) - set(variants['library'])\n",
    "if unknown_libs:\n",
    "    raise ValueError(f\"Libraries with barcode runs not in variant table: {unknown_libs}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we initialize an [IlluminaBarcodeParser](https://jbloomlab.github.io/dms_variants/dms_variants.illuminabarcodeparser.html#dms_variants.illuminabarcodeparser.IlluminaBarcodeParser) for each library.\n",
    "\n",
    "First, get the length of the barcode from the alignment target after making sure the same length for all targets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Barcodes of length 16\n"
     ]
    }
   ],
   "source": [
    "bclen = len(targets.targets[0].get_feature('barcode').seq)\n",
    "\n",
    "assert (bclen == len(target.get_feature('barcode').seq) for target in targets.targets)\n",
    "\n",
    "print(f\"Barcodes of length {bclen}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The other barcode parsing params come from the config file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>parameter</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>upstream</td>\n",
       "      <td>GGCCGC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>downstream</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>minq</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>upstream_mismatch</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>downstream_mismatch</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parser_params = config['illumina_barcode_parser_params']\n",
    "\n",
    "display(HTML(\n",
    "    pd.Series(parser_params, name='value')\n",
    "    .rename_axis(index='parameter')\n",
    "    .reset_index()\n",
    "    .to_html(index=False)\n",
    "    ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The parser needs to know the set of valid barcodes, which are stored in the variant table and are different for each library.\n",
    "So we create a different parser for each library using these valid barcode sets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of valid barcodes searched for by each parser:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>library</th>\n",
       "      <th>number of valid barcodes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>lib2</td>\n",
       "      <td>99370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>lib1</td>\n",
       "      <td>93059</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create dict keyed by library, value is parser for library\n",
    "parsers = {lib: dms_variants.illuminabarcodeparser.IlluminaBarcodeParser(\n",
    "                    bclen=bclen,\n",
    "                    valid_barcodes=variants.loc[variants['library']==lib]['barcode'],\n",
    "                    **parser_params)\n",
    "           for lib in set(variants['library'])}\n",
    "\n",
    "print('Number of valid barcodes searched for by each parser:')\n",
    "display(HTML(\n",
    "    pd.DataFrame([(lib, len(p.valid_barcodes)) for lib, p in parsers.items()],\n",
    "                 columns=['library', 'number of valid barcodes'])\n",
    "    .to_html(index=False)\n",
    "    ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parse barcodes\n",
    "We now parse the barcodes.\n",
    "Since this will take a while, we utilize multiple CPUs via the Python [multiprocessing](https://docs.python.org/3.6/library/multiprocessing.html) module.\n",
    "First, determine how many CPUs to use.\n",
    "We use the minimum of the user-specified number hardcoded below and the number actually available.\n",
    "(If you are running *interactively* on the Hutch cluster, you may need to reduce the number below in order to avoid an error as there is an enforced CPU limit on the home `rhino` nodes):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using 8 CPUs\n"
     ]
    }
   ],
   "source": [
    "ncpus = min(config['max_cpus'], multiprocessing.cpu_count())\n",
    "print(f\"Using {ncpus} CPUs\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parse the barcodes in parallel via a [multiprocessing.Pool](https://docs.python.org/3.6/library/multiprocessing.html#multiprocessing.pool.Pool) using all the available CPUs to get a list of the data frames with barcode counts / fates for each sample:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_func(parser, r1files, library, sample):\n",
    "    \"\"\"Convenience function to be starmapped to multiprocessing pool.\"\"\"\n",
    "    return parser.parse(r1files, add_cols={'library': library, 'sample': sample})\n",
    "\n",
    "# parallel computation of list of data frames\n",
    "with multiprocessing.pool.Pool(processes=ncpus) as pool:\n",
    "    bclist = pool.starmap(\n",
    "                process_func,\n",
    "                [(parsers[run.library], run.R1, run.library, run.sample)\n",
    "                  for run in barcode_runs.itertuples()],\n",
    "                )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now concatenate the list into data frames of barcode counts and barcode fates:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First few lines of counts data frame:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>barcode</th>\n",
       "      <th>count</th>\n",
       "      <th>library</th>\n",
       "      <th>sample</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>AGCATACCCTTAACAA</td>\n",
       "      <td>26343</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>TGACGCCTTATCCTCC</td>\n",
       "      <td>20015</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>TGCGATGGTACGTCAA</td>\n",
       "      <td>15678</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>AACTACACGGATAGGT</td>\n",
       "      <td>14906</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>CATAATGAATGTGCAA</td>\n",
       "      <td>14667</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First few lines of fates data frame:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>fate</th>\n",
       "      <th>count</th>\n",
       "      <th>library</th>\n",
       "      <th>sample</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>valid barcode</td>\n",
       "      <td>5878929</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>invalid barcode</td>\n",
       "      <td>4760919</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>low quality barcode</td>\n",
       "      <td>833191</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>failed chastity filter</td>\n",
       "      <td>523889</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>unparseable barcode</td>\n",
       "      <td>144412</td>\n",
       "      <td>lib1</td>\n",
       "      <td>SortSeq_bin1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "counts = pd.concat([samplecounts for samplecounts, _ in bclist],\n",
    "                   sort=False,\n",
    "                   ignore_index=True)\n",
    "\n",
    "print('First few lines of counts data frame:')\n",
    "display(HTML(counts.head().to_html(index=False)))\n",
    "\n",
    "fates = pd.concat([samplefates for _, samplefates in bclist],\n",
    "                  sort=False,\n",
    "                  ignore_index=True)\n",
    "\n",
    "print('First few lines of fates data frame:')\n",
    "display(HTML(fates.head().to_html(index=False)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Examine fates of parsed barcodes\n",
    "First, we'll analyze the \"fates\" of the parsed barcodes.\n",
    "These fates represent what happened to each Illumina read we parsed:\n",
    " - Did the barcode read fail the Illumina chastity filter?\n",
    " - Was the barcode *unparseable* (i.e., the read didn't appear to be a valid barcode based on flanking regions)?\n",
    " - Was the barcode sequence too *low quality* based on the Illumina quality scores?\n",
    " - Was the barcode parseable but *invalid* (i.e., not in our list of variant-associated barcodes in the codon variant table)?\n",
    " - Was the barcode *valid*, and so will be added to variant counts.\n",
    " \n",
    "First, we just write a CSV file with all the barcode fates:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing barcode fates to results/counts/barcode_fates.csv\n"
     ]
    }
   ],
   "source": [
    "fatesfile = os.path.join(config['counts_dir'], 'barcode_fates.csv')\n",
    "print(f\"Writing barcode fates to {fatesfile}\")\n",
    "fates.to_csv(fatesfile, index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we tabulate the barcode fates in wide format:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fate</th>\n",
       "      <th>failed chastity filter</th>\n",
       "      <th>invalid barcode</th>\n",
       "      <th>low quality barcode</th>\n",
       "      <th>unparseable barcode</th>\n",
       "      <th>valid barcode</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>library</th>\n",
       "      <th>sample</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"92\" valign=\"top\">lib1</th>\n",
       "      <th>PSR_01_bin1</th>\n",
       "      <td>2760</td>\n",
       "      <td>76609</td>\n",
       "      <td>8875</td>\n",
       "      <td>6707</td>\n",
       "      <td>261892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_01_bin2</th>\n",
       "      <td>33281</td>\n",
       "      <td>881110</td>\n",
       "      <td>105293</td>\n",
       "      <td>53648</td>\n",
       "      <td>3071392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_01_bin3</th>\n",
       "      <td>92962</td>\n",
       "      <td>2527624</td>\n",
       "      <td>304416</td>\n",
       "      <td>138579</td>\n",
       "      <td>8713391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_01_bin4</th>\n",
       "      <td>31565</td>\n",
       "      <td>876540</td>\n",
       "      <td>105307</td>\n",
       "      <td>43313</td>\n",
       "      <td>2878818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_02_bin1</th>\n",
       "      <td>2260</td>\n",
       "      <td>60269</td>\n",
       "      <td>7086</td>\n",
       "      <td>6288</td>\n",
       "      <td>213345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_02_bin2</th>\n",
       "      <td>54573</td>\n",
       "      <td>1384490</td>\n",
       "      <td>182158</td>\n",
       "      <td>79424</td>\n",
       "      <td>4816497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_02_bin3</th>\n",
       "      <td>53449</td>\n",
       "      <td>1521122</td>\n",
       "      <td>179420</td>\n",
       "      <td>83758</td>\n",
       "      <td>5160624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_02_bin4</th>\n",
       "      <td>20733</td>\n",
       "      <td>573716</td>\n",
       "      <td>65237</td>\n",
       "      <td>35128</td>\n",
       "      <td>1834236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_03_bin1</th>\n",
       "      <td>9640</td>\n",
       "      <td>265342</td>\n",
       "      <td>33949</td>\n",
       "      <td>17255</td>\n",
       "      <td>925723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_03_bin2</th>\n",
       "      <td>105581</td>\n",
       "      <td>2853238</td>\n",
       "      <td>337705</td>\n",
       "      <td>155594</td>\n",
       "      <td>9923513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_03_bin3</th>\n",
       "      <td>37799</td>\n",
       "      <td>1031692</td>\n",
       "      <td>125139</td>\n",
       "      <td>60195</td>\n",
       "      <td>3437962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_03_bin4</th>\n",
       "      <td>8856</td>\n",
       "      <td>240557</td>\n",
       "      <td>28232</td>\n",
       "      <td>17746</td>\n",
       "      <td>784493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_04_bin1</th>\n",
       "      <td>59868</td>\n",
       "      <td>1541305</td>\n",
       "      <td>186597</td>\n",
       "      <td>87915</td>\n",
       "      <td>5366232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_04_bin2</th>\n",
       "      <td>85427</td>\n",
       "      <td>2272152</td>\n",
       "      <td>275607</td>\n",
       "      <td>124985</td>\n",
       "      <td>7832291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_04_bin3</th>\n",
       "      <td>16986</td>\n",
       "      <td>468779</td>\n",
       "      <td>54832</td>\n",
       "      <td>24042</td>\n",
       "      <td>1546298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_04_bin4</th>\n",
       "      <td>2689</td>\n",
       "      <td>63613</td>\n",
       "      <td>7695</td>\n",
       "      <td>4497</td>\n",
       "      <td>204246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_05_bin1</th>\n",
       "      <td>96819</td>\n",
       "      <td>2602487</td>\n",
       "      <td>315146</td>\n",
       "      <td>136049</td>\n",
       "      <td>8845215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_05_bin2</th>\n",
       "      <td>4712</td>\n",
       "      <td>111266</td>\n",
       "      <td>13496</td>\n",
       "      <td>9240</td>\n",
       "      <td>374768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_05_bin3</th>\n",
       "      <td>945</td>\n",
       "      <td>25681</td>\n",
       "      <td>2129</td>\n",
       "      <td>3216</td>\n",
       "      <td>59291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_05_bin4</th>\n",
       "      <td>170</td>\n",
       "      <td>216</td>\n",
       "      <td>11</td>\n",
       "      <td>2451</td>\n",
       "      <td>307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SortSeq_bin1</th>\n",
       "      <td>523889</td>\n",
       "      <td>4760919</td>\n",
       "      <td>833191</td>\n",
       "      <td>144412</td>\n",
       "      <td>5878929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SortSeq_bin2</th>\n",
       "      <td>727426</td>\n",
       "      <td>3538326</td>\n",
       "      <td>1173192</td>\n",
       "      <td>251148</td>\n",
       "      <td>11430301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SortSeq_bin3</th>\n",
       "      <td>746488</td>\n",
       "      <td>3531818</td>\n",
       "      <td>1201586</td>\n",
       "      <td>256451</td>\n",
       "      <td>11931433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SortSeq_bin4</th>\n",
       "      <td>699173</td>\n",
       "      <td>3195131</td>\n",
       "      <td>1123721</td>\n",
       "      <td>237730</td>\n",
       "      <td>11077972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_01_bin1</th>\n",
       "      <td>723</td>\n",
       "      <td>23498</td>\n",
       "      <td>2512</td>\n",
       "      <td>5588</td>\n",
       "      <td>69967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_01_bin2</th>\n",
       "      <td>2219</td>\n",
       "      <td>66911</td>\n",
       "      <td>7438</td>\n",
       "      <td>5391</td>\n",
       "      <td>211761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_01_bin3</th>\n",
       "      <td>27109</td>\n",
       "      <td>736192</td>\n",
       "      <td>89164</td>\n",
       "      <td>35800</td>\n",
       "      <td>2428144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_01_bin4</th>\n",
       "      <td>109822</td>\n",
       "      <td>2886347</td>\n",
       "      <td>371062</td>\n",
       "      <td>153582</td>\n",
       "      <td>9840677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_02_bin1</th>\n",
       "      <td>529</td>\n",
       "      <td>15276</td>\n",
       "      <td>1740</td>\n",
       "      <td>2432</td>\n",
       "      <td>47643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_02_bin2</th>\n",
       "      <td>5857</td>\n",
       "      <td>157481</td>\n",
       "      <td>19898</td>\n",
       "      <td>12004</td>\n",
       "      <td>527511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_02_bin3</th>\n",
       "      <td>29469</td>\n",
       "      <td>836629</td>\n",
       "      <td>98832</td>\n",
       "      <td>53673</td>\n",
       "      <td>2724171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_02_bin4</th>\n",
       "      <td>118649</td>\n",
       "      <td>3200851</td>\n",
       "      <td>390447</td>\n",
       "      <td>198223</td>\n",
       "      <td>10962044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_03_bin1</th>\n",
       "      <td>3000</td>\n",
       "      <td>85774</td>\n",
       "      <td>10330</td>\n",
       "      <td>7465</td>\n",
       "      <td>281796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_03_bin2</th>\n",
       "      <td>15854</td>\n",
       "      <td>439081</td>\n",
       "      <td>51347</td>\n",
       "      <td>24883</td>\n",
       "      <td>1432261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_03_bin3</th>\n",
       "      <td>39990</td>\n",
       "      <td>1079409</td>\n",
       "      <td>133347</td>\n",
       "      <td>66266</td>\n",
       "      <td>3548895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_03_bin4</th>\n",
       "      <td>87944</td>\n",
       "      <td>2313093</td>\n",
       "      <td>290636</td>\n",
       "      <td>145619</td>\n",
       "      <td>7918255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_04_bin1</th>\n",
       "      <td>4473</td>\n",
       "      <td>119291</td>\n",
       "      <td>13553</td>\n",
       "      <td>9937</td>\n",
       "      <td>391594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_04_bin2</th>\n",
       "      <td>12230</td>\n",
       "      <td>336998</td>\n",
       "      <td>39710</td>\n",
       "      <td>17381</td>\n",
       "      <td>1104003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_04_bin3</th>\n",
       "      <td>79614</td>\n",
       "      <td>2132495</td>\n",
       "      <td>262375</td>\n",
       "      <td>117650</td>\n",
       "      <td>7168931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_04_bin4</th>\n",
       "      <td>33025</td>\n",
       "      <td>756991</td>\n",
       "      <td>106613</td>\n",
       "      <td>42706</td>\n",
       "      <td>2610429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_05_bin1</th>\n",
       "      <td>6038</td>\n",
       "      <td>166913</td>\n",
       "      <td>19351</td>\n",
       "      <td>8995</td>\n",
       "      <td>551036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_05_bin2</th>\n",
       "      <td>14001</td>\n",
       "      <td>388159</td>\n",
       "      <td>44619</td>\n",
       "      <td>26975</td>\n",
       "      <td>1282207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_05_bin3</th>\n",
       "      <td>43395</td>\n",
       "      <td>1115507</td>\n",
       "      <td>137192</td>\n",
       "      <td>66894</td>\n",
       "      <td>3825622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_05_bin4</th>\n",
       "      <td>2961</td>\n",
       "      <td>82456</td>\n",
       "      <td>8955</td>\n",
       "      <td>10805</td>\n",
       "      <td>254728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_06_bin1</th>\n",
       "      <td>16330</td>\n",
       "      <td>478179</td>\n",
       "      <td>56630</td>\n",
       "      <td>24360</td>\n",
       "      <td>1588020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_06_bin2</th>\n",
       "      <td>115068</td>\n",
       "      <td>2983159</td>\n",
       "      <td>367642</td>\n",
       "      <td>162896</td>\n",
       "      <td>10241861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_06_bin3</th>\n",
       "      <td>3482</td>\n",
       "      <td>102260</td>\n",
       "      <td>11895</td>\n",
       "      <td>6229</td>\n",
       "      <td>341369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_06_bin4</th>\n",
       "      <td>281</td>\n",
       "      <td>3381</td>\n",
       "      <td>415</td>\n",
       "      <td>4784</td>\n",
       "      <td>11254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_07_bin1</th>\n",
       "      <td>105301</td>\n",
       "      <td>2712156</td>\n",
       "      <td>342585</td>\n",
       "      <td>147733</td>\n",
       "      <td>9198668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_07_bin2</th>\n",
       "      <td>12495</td>\n",
       "      <td>340544</td>\n",
       "      <td>41258</td>\n",
       "      <td>27318</td>\n",
       "      <td>1167631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_07_bin3</th>\n",
       "      <td>32</td>\n",
       "      <td>752</td>\n",
       "      <td>62</td>\n",
       "      <td>362</td>\n",
       "      <td>1381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_07_bin4</th>\n",
       "      <td>22</td>\n",
       "      <td>66</td>\n",
       "      <td>7</td>\n",
       "      <td>405</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_08_bin1</th>\n",
       "      <td>21561</td>\n",
       "      <td>558221</td>\n",
       "      <td>70630</td>\n",
       "      <td>29815</td>\n",
       "      <td>1894494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_08_bin2</th>\n",
       "      <td>2670</td>\n",
       "      <td>59900</td>\n",
       "      <td>7131</td>\n",
       "      <td>8911</td>\n",
       "      <td>205514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_08_bin3</th>\n",
       "      <td>59</td>\n",
       "      <td>186</td>\n",
       "      <td>24</td>\n",
       "      <td>1876</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_08_bin4</th>\n",
       "      <td>54</td>\n",
       "      <td>530</td>\n",
       "      <td>30</td>\n",
       "      <td>875</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_09_bin1</th>\n",
       "      <td>119463</td>\n",
       "      <td>3152051</td>\n",
       "      <td>390186</td>\n",
       "      <td>167576</td>\n",
       "      <td>10674684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_09_bin2</th>\n",
       "      <td>1161</td>\n",
       "      <td>28927</td>\n",
       "      <td>3801</td>\n",
       "      <td>3064</td>\n",
       "      <td>101073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_09_bin3</th>\n",
       "      <td>297</td>\n",
       "      <td>212</td>\n",
       "      <td>30</td>\n",
       "      <td>2671</td>\n",
       "      <td>245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_09_bin4</th>\n",
       "      <td>24</td>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>623</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_01_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>34391</td>\n",
       "      <td>23747</td>\n",
       "      <td>1961</td>\n",
       "      <td>116108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_01_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>1922364</td>\n",
       "      <td>1364144</td>\n",
       "      <td>101478</td>\n",
       "      <td>6630549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_01_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>2196495</td>\n",
       "      <td>1579084</td>\n",
       "      <td>116910</td>\n",
       "      <td>7395863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_01_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>585227</td>\n",
       "      <td>413973</td>\n",
       "      <td>26731</td>\n",
       "      <td>1890834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_02_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>1614297</td>\n",
       "      <td>1137941</td>\n",
       "      <td>87986</td>\n",
       "      <td>5526837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_02_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>2565247</td>\n",
       "      <td>1801977</td>\n",
       "      <td>136491</td>\n",
       "      <td>8702674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_02_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>349017</td>\n",
       "      <td>230950</td>\n",
       "      <td>14592</td>\n",
       "      <td>1144828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_02_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>115817</td>\n",
       "      <td>75467</td>\n",
       "      <td>4357</td>\n",
       "      <td>360140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_03_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>1889580</td>\n",
       "      <td>1339872</td>\n",
       "      <td>100000</td>\n",
       "      <td>6449176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_03_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>3134038</td>\n",
       "      <td>2267255</td>\n",
       "      <td>167143</td>\n",
       "      <td>10700456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_03_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>555265</td>\n",
       "      <td>377589</td>\n",
       "      <td>24604</td>\n",
       "      <td>1769918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_03_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>76135</td>\n",
       "      <td>50551</td>\n",
       "      <td>3004</td>\n",
       "      <td>241069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_04_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>4128786</td>\n",
       "      <td>3065871</td>\n",
       "      <td>218040</td>\n",
       "      <td>13962133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_04_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>441448</td>\n",
       "      <td>323055</td>\n",
       "      <td>22549</td>\n",
       "      <td>1492240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_04_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>30016</td>\n",
       "      <td>23203</td>\n",
       "      <td>1640</td>\n",
       "      <td>99049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_04_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>10838</td>\n",
       "      <td>10579</td>\n",
       "      <td>493</td>\n",
       "      <td>33093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_05_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>3555675</td>\n",
       "      <td>2560495</td>\n",
       "      <td>182995</td>\n",
       "      <td>11997496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_05_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>114228</td>\n",
       "      <td>81702</td>\n",
       "      <td>5314</td>\n",
       "      <td>385899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_05_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>1740</td>\n",
       "      <td>1489</td>\n",
       "      <td>83</td>\n",
       "      <td>4804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_05_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>1702</td>\n",
       "      <td>3115</td>\n",
       "      <td>122</td>\n",
       "      <td>5965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_06_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>5006492</td>\n",
       "      <td>3662674</td>\n",
       "      <td>262476</td>\n",
       "      <td>16875795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_06_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>107709</td>\n",
       "      <td>78938</td>\n",
       "      <td>5455</td>\n",
       "      <td>371868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_06_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>820</td>\n",
       "      <td>5824</td>\n",
       "      <td>56</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_06_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>2139</td>\n",
       "      <td>794</td>\n",
       "      <td>31</td>\n",
       "      <td>2644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_07_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>4294140</td>\n",
       "      <td>3141335</td>\n",
       "      <td>223749</td>\n",
       "      <td>14519467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_07_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>138356</td>\n",
       "      <td>99278</td>\n",
       "      <td>7064</td>\n",
       "      <td>468326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_07_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>145</td>\n",
       "      <td>687</td>\n",
       "      <td>10</td>\n",
       "      <td>460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_07_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>853</td>\n",
       "      <td>1125</td>\n",
       "      <td>30</td>\n",
       "      <td>2244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_09_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>4624113</td>\n",
       "      <td>3273253</td>\n",
       "      <td>239292</td>\n",
       "      <td>15612776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_09_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>138172</td>\n",
       "      <td>101697</td>\n",
       "      <td>6871</td>\n",
       "      <td>461580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_09_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>159</td>\n",
       "      <td>270</td>\n",
       "      <td>7</td>\n",
       "      <td>363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_09_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>2682</td>\n",
       "      <td>726</td>\n",
       "      <td>48</td>\n",
       "      <td>347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"92\" valign=\"top\">lib2</th>\n",
       "      <th>PSR_01_bin1</th>\n",
       "      <td>1562</td>\n",
       "      <td>48082</td>\n",
       "      <td>5022</td>\n",
       "      <td>2414</td>\n",
       "      <td>142422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_01_bin2</th>\n",
       "      <td>20497</td>\n",
       "      <td>602681</td>\n",
       "      <td>65954</td>\n",
       "      <td>28390</td>\n",
       "      <td>1808361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_01_bin3</th>\n",
       "      <td>86014</td>\n",
       "      <td>2634986</td>\n",
       "      <td>278379</td>\n",
       "      <td>127365</td>\n",
       "      <td>7845102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_01_bin4</th>\n",
       "      <td>42006</td>\n",
       "      <td>1312985</td>\n",
       "      <td>139987</td>\n",
       "      <td>67516</td>\n",
       "      <td>3798485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_02_bin1</th>\n",
       "      <td>1367</td>\n",
       "      <td>42002</td>\n",
       "      <td>4283</td>\n",
       "      <td>2837</td>\n",
       "      <td>123214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_02_bin2</th>\n",
       "      <td>36368</td>\n",
       "      <td>1058378</td>\n",
       "      <td>117892</td>\n",
       "      <td>55020</td>\n",
       "      <td>3164506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_02_bin3</th>\n",
       "      <td>46831</td>\n",
       "      <td>1418500</td>\n",
       "      <td>157480</td>\n",
       "      <td>68029</td>\n",
       "      <td>4240036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_02_bin4</th>\n",
       "      <td>15274</td>\n",
       "      <td>471859</td>\n",
       "      <td>50349</td>\n",
       "      <td>20475</td>\n",
       "      <td>1341122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_03_bin1</th>\n",
       "      <td>1207</td>\n",
       "      <td>36838</td>\n",
       "      <td>3683</td>\n",
       "      <td>2161</td>\n",
       "      <td>108908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_03_bin2</th>\n",
       "      <td>16676</td>\n",
       "      <td>482083</td>\n",
       "      <td>51289</td>\n",
       "      <td>29575</td>\n",
       "      <td>1455089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_03_bin3</th>\n",
       "      <td>42131</td>\n",
       "      <td>1353775</td>\n",
       "      <td>138689</td>\n",
       "      <td>65531</td>\n",
       "      <td>4013190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_03_bin4</th>\n",
       "      <td>3981</td>\n",
       "      <td>129208</td>\n",
       "      <td>12911</td>\n",
       "      <td>6491</td>\n",
       "      <td>364997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_04_bin1</th>\n",
       "      <td>4946</td>\n",
       "      <td>159115</td>\n",
       "      <td>16241</td>\n",
       "      <td>8762</td>\n",
       "      <td>480145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_04_bin2</th>\n",
       "      <td>26313</td>\n",
       "      <td>823098</td>\n",
       "      <td>87697</td>\n",
       "      <td>41658</td>\n",
       "      <td>2460338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_04_bin3</th>\n",
       "      <td>34705</td>\n",
       "      <td>1027936</td>\n",
       "      <td>108936</td>\n",
       "      <td>52602</td>\n",
       "      <td>3013980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_04_bin4</th>\n",
       "      <td>4733</td>\n",
       "      <td>143584</td>\n",
       "      <td>15200</td>\n",
       "      <td>7153</td>\n",
       "      <td>409592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_05_bin1</th>\n",
       "      <td>161760</td>\n",
       "      <td>4804606</td>\n",
       "      <td>525383</td>\n",
       "      <td>228965</td>\n",
       "      <td>14207135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_05_bin2</th>\n",
       "      <td>24225</td>\n",
       "      <td>720718</td>\n",
       "      <td>80451</td>\n",
       "      <td>35555</td>\n",
       "      <td>2143354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_05_bin3</th>\n",
       "      <td>218</td>\n",
       "      <td>4214</td>\n",
       "      <td>417</td>\n",
       "      <td>1597</td>\n",
       "      <td>12272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSR_05_bin4</th>\n",
       "      <td>39</td>\n",
       "      <td>54</td>\n",
       "      <td>3</td>\n",
       "      <td>1003</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SortSeq_bin1</th>\n",
       "      <td>509852</td>\n",
       "      <td>4627673</td>\n",
       "      <td>813556</td>\n",
       "      <td>198130</td>\n",
       "      <td>5774217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SortSeq_bin2</th>\n",
       "      <td>795781</td>\n",
       "      <td>4205255</td>\n",
       "      <td>1267242</td>\n",
       "      <td>273376</td>\n",
       "      <td>11874774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SortSeq_bin3</th>\n",
       "      <td>821118</td>\n",
       "      <td>4127023</td>\n",
       "      <td>1307794</td>\n",
       "      <td>275945</td>\n",
       "      <td>12092240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SortSeq_bin4</th>\n",
       "      <td>759644</td>\n",
       "      <td>3827605</td>\n",
       "      <td>1201061</td>\n",
       "      <td>262920</td>\n",
       "      <td>11482708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_01_bin1</th>\n",
       "      <td>127</td>\n",
       "      <td>1831</td>\n",
       "      <td>94</td>\n",
       "      <td>1012</td>\n",
       "      <td>1607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_01_bin2</th>\n",
       "      <td>1683</td>\n",
       "      <td>60948</td>\n",
       "      <td>5501</td>\n",
       "      <td>2139</td>\n",
       "      <td>138650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_01_bin3</th>\n",
       "      <td>20885</td>\n",
       "      <td>623761</td>\n",
       "      <td>65554</td>\n",
       "      <td>26992</td>\n",
       "      <td>1727022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_01_bin4</th>\n",
       "      <td>61074</td>\n",
       "      <td>1710486</td>\n",
       "      <td>197991</td>\n",
       "      <td>82328</td>\n",
       "      <td>5071442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_02_bin1</th>\n",
       "      <td>1144</td>\n",
       "      <td>40401</td>\n",
       "      <td>3776</td>\n",
       "      <td>2800</td>\n",
       "      <td>98705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_02_bin2</th>\n",
       "      <td>1702</td>\n",
       "      <td>56116</td>\n",
       "      <td>5737</td>\n",
       "      <td>3198</td>\n",
       "      <td>153481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_02_bin3</th>\n",
       "      <td>15466</td>\n",
       "      <td>510137</td>\n",
       "      <td>51261</td>\n",
       "      <td>23383</td>\n",
       "      <td>1453815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_02_bin4</th>\n",
       "      <td>73472</td>\n",
       "      <td>2044968</td>\n",
       "      <td>243880</td>\n",
       "      <td>102647</td>\n",
       "      <td>6077556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_03_bin1</th>\n",
       "      <td>3090</td>\n",
       "      <td>99733</td>\n",
       "      <td>9989</td>\n",
       "      <td>4813</td>\n",
       "      <td>252931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_03_bin2</th>\n",
       "      <td>5054</td>\n",
       "      <td>178199</td>\n",
       "      <td>17369</td>\n",
       "      <td>8192</td>\n",
       "      <td>472019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_03_bin3</th>\n",
       "      <td>31150</td>\n",
       "      <td>981385</td>\n",
       "      <td>103120</td>\n",
       "      <td>50095</td>\n",
       "      <td>2791190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_03_bin4</th>\n",
       "      <td>72237</td>\n",
       "      <td>2133857</td>\n",
       "      <td>239146</td>\n",
       "      <td>111556</td>\n",
       "      <td>6424338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_04_bin1</th>\n",
       "      <td>4149</td>\n",
       "      <td>131597</td>\n",
       "      <td>12881</td>\n",
       "      <td>7011</td>\n",
       "      <td>350326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_04_bin2</th>\n",
       "      <td>9666</td>\n",
       "      <td>317245</td>\n",
       "      <td>32646</td>\n",
       "      <td>15224</td>\n",
       "      <td>890010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_04_bin3</th>\n",
       "      <td>29876</td>\n",
       "      <td>994115</td>\n",
       "      <td>104818</td>\n",
       "      <td>53698</td>\n",
       "      <td>2885157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_04_bin4</th>\n",
       "      <td>23366</td>\n",
       "      <td>772506</td>\n",
       "      <td>82782</td>\n",
       "      <td>40686</td>\n",
       "      <td>2355943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_05_bin1</th>\n",
       "      <td>4485</td>\n",
       "      <td>149378</td>\n",
       "      <td>15427</td>\n",
       "      <td>7103</td>\n",
       "      <td>410521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_05_bin2</th>\n",
       "      <td>15788</td>\n",
       "      <td>493051</td>\n",
       "      <td>50774</td>\n",
       "      <td>31407</td>\n",
       "      <td>1385127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_05_bin3</th>\n",
       "      <td>43332</td>\n",
       "      <td>1452937</td>\n",
       "      <td>160151</td>\n",
       "      <td>75502</td>\n",
       "      <td>4361933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_05_bin4</th>\n",
       "      <td>1896</td>\n",
       "      <td>53281</td>\n",
       "      <td>5713</td>\n",
       "      <td>6059</td>\n",
       "      <td>164249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_06_bin1</th>\n",
       "      <td>19487</td>\n",
       "      <td>644683</td>\n",
       "      <td>66729</td>\n",
       "      <td>30172</td>\n",
       "      <td>1798422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_06_bin2</th>\n",
       "      <td>95814</td>\n",
       "      <td>2818095</td>\n",
       "      <td>321691</td>\n",
       "      <td>144996</td>\n",
       "      <td>8444622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_06_bin3</th>\n",
       "      <td>1435</td>\n",
       "      <td>44191</td>\n",
       "      <td>4834</td>\n",
       "      <td>5635</td>\n",
       "      <td>138017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_06_bin4</th>\n",
       "      <td>156</td>\n",
       "      <td>97</td>\n",
       "      <td>11</td>\n",
       "      <td>3070</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_07_bin1</th>\n",
       "      <td>65227</td>\n",
       "      <td>1880842</td>\n",
       "      <td>212932</td>\n",
       "      <td>89992</td>\n",
       "      <td>5545021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_07_bin2</th>\n",
       "      <td>7847</td>\n",
       "      <td>236386</td>\n",
       "      <td>25683</td>\n",
       "      <td>12951</td>\n",
       "      <td>717704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_07_bin3</th>\n",
       "      <td>453</td>\n",
       "      <td>10530</td>\n",
       "      <td>1149</td>\n",
       "      <td>1273</td>\n",
       "      <td>31884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_07_bin4</th>\n",
       "      <td>84</td>\n",
       "      <td>18</td>\n",
       "      <td>15</td>\n",
       "      <td>1004</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_08_bin1</th>\n",
       "      <td>92740</td>\n",
       "      <td>2822029</td>\n",
       "      <td>313287</td>\n",
       "      <td>134308</td>\n",
       "      <td>8350688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_08_bin2</th>\n",
       "      <td>4522</td>\n",
       "      <td>115452</td>\n",
       "      <td>11996</td>\n",
       "      <td>18720</td>\n",
       "      <td>341937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_08_bin3</th>\n",
       "      <td>119</td>\n",
       "      <td>87</td>\n",
       "      <td>2</td>\n",
       "      <td>6303</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_08_bin4</th>\n",
       "      <td>214</td>\n",
       "      <td>76</td>\n",
       "      <td>12</td>\n",
       "      <td>2888</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_09_bin1</th>\n",
       "      <td>89791</td>\n",
       "      <td>2691236</td>\n",
       "      <td>296258</td>\n",
       "      <td>133990</td>\n",
       "      <td>7891843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_09_bin2</th>\n",
       "      <td>1902</td>\n",
       "      <td>59097</td>\n",
       "      <td>5963</td>\n",
       "      <td>4419</td>\n",
       "      <td>172182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_09_bin3</th>\n",
       "      <td>33</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>554</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TiteSeq_09_bin4</th>\n",
       "      <td>94</td>\n",
       "      <td>41</td>\n",
       "      <td>12</td>\n",
       "      <td>2863</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_01_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>31702</td>\n",
       "      <td>23044</td>\n",
       "      <td>1543</td>\n",
       "      <td>92273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_01_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>3162590</td>\n",
       "      <td>2048929</td>\n",
       "      <td>152791</td>\n",
       "      <td>9480848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_01_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>1769269</td>\n",
       "      <td>1123222</td>\n",
       "      <td>82113</td>\n",
       "      <td>5198219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_01_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>393281</td>\n",
       "      <td>237384</td>\n",
       "      <td>16229</td>\n",
       "      <td>1065719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_02_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>2032170</td>\n",
       "      <td>1305656</td>\n",
       "      <td>95452</td>\n",
       "      <td>6032770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_02_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>3133119</td>\n",
       "      <td>1999689</td>\n",
       "      <td>148307</td>\n",
       "      <td>9247875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_02_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>322132</td>\n",
       "      <td>196005</td>\n",
       "      <td>13757</td>\n",
       "      <td>882369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_02_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>90093</td>\n",
       "      <td>54537</td>\n",
       "      <td>3178</td>\n",
       "      <td>242549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_03_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>1651110</td>\n",
       "      <td>1099708</td>\n",
       "      <td>81919</td>\n",
       "      <td>4915217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_03_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>3413796</td>\n",
       "      <td>2190110</td>\n",
       "      <td>161361</td>\n",
       "      <td>10112490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_03_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>517845</td>\n",
       "      <td>316503</td>\n",
       "      <td>22759</td>\n",
       "      <td>1444008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_03_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>51487</td>\n",
       "      <td>31545</td>\n",
       "      <td>2061</td>\n",
       "      <td>137134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_04_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>6091206</td>\n",
       "      <td>3896498</td>\n",
       "      <td>291082</td>\n",
       "      <td>17920346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_04_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>505427</td>\n",
       "      <td>325386</td>\n",
       "      <td>23879</td>\n",
       "      <td>1478934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_04_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>18101</td>\n",
       "      <td>11433</td>\n",
       "      <td>717</td>\n",
       "      <td>48966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_04_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>12022</td>\n",
       "      <td>7406</td>\n",
       "      <td>351</td>\n",
       "      <td>32557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_05_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>5215279</td>\n",
       "      <td>3353563</td>\n",
       "      <td>241708</td>\n",
       "      <td>15314750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_05_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>133936</td>\n",
       "      <td>87198</td>\n",
       "      <td>5853</td>\n",
       "      <td>389948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_05_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>4027</td>\n",
       "      <td>2955</td>\n",
       "      <td>132</td>\n",
       "      <td>11063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_05_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>1032</td>\n",
       "      <td>942</td>\n",
       "      <td>34</td>\n",
       "      <td>2826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_06_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>5127003</td>\n",
       "      <td>3332522</td>\n",
       "      <td>238833</td>\n",
       "      <td>15016308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_06_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>123626</td>\n",
       "      <td>80514</td>\n",
       "      <td>5773</td>\n",
       "      <td>368137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_06_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>507</td>\n",
       "      <td>1630</td>\n",
       "      <td>112</td>\n",
       "      <td>907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_06_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>7564</td>\n",
       "      <td>1356</td>\n",
       "      <td>92</td>\n",
       "      <td>786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_07_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>5387435</td>\n",
       "      <td>3457670</td>\n",
       "      <td>251249</td>\n",
       "      <td>15872663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_07_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>91426</td>\n",
       "      <td>59985</td>\n",
       "      <td>4501</td>\n",
       "      <td>274519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_07_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>481</td>\n",
       "      <td>22</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_07_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>247</td>\n",
       "      <td>220</td>\n",
       "      <td>14</td>\n",
       "      <td>578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_09_bin1</th>\n",
       "      <td>0</td>\n",
       "      <td>5152250</td>\n",
       "      <td>3377972</td>\n",
       "      <td>237627</td>\n",
       "      <td>15119369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_09_bin2</th>\n",
       "      <td>0</td>\n",
       "      <td>137924</td>\n",
       "      <td>89875</td>\n",
       "      <td>6420</td>\n",
       "      <td>406898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_09_bin3</th>\n",
       "      <td>0</td>\n",
       "      <td>105</td>\n",
       "      <td>997</td>\n",
       "      <td>9</td>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TuGG_TiteSeq_09_bin4</th>\n",
       "      <td>0</td>\n",
       "      <td>407</td>\n",
       "      <td>260</td>\n",
       "      <td>29</td>\n",
       "      <td>1008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(HTML(fates\n",
    "             .pivot_table(columns='fate',\n",
    "                          values='count',\n",
    "                          index=['library', 'sample'])\n",
    "             .to_html()\n",
    "             ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we plot the barcode-read fates for each library / sample, showing the bars for valid barcodes in orange and the others in gray.\n",
    "We see that the largest fraction of barcode reads correspond to valid barcodes, and most of the others are invalid barcodes (probably because the map to variants that aren't present in our variant table since we didn't associate all variants with barcodes). The exception to this is lib2 Titeseq_03_bin3; the PCR for this sample in the original sequencing run failed, so we followed it up with a single MiSeq lane. We did not filter out the PhiX reads from this data before parsing, so these PhiX reads will deflate the fraction of valid barcode reads as expected, but does not indicate any problems."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 420x15844 with 184 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "barcode_fate_plot = (\n",
    "    ggplot(\n",
    "        fates\n",
    "        .assign(sample=lambda x: pd.Categorical(x['sample'],\n",
    "                                                x['sample'].unique(),\n",
    "                                                ordered=True),\n",
    "                fate=lambda x: pd.Categorical(x['fate'],\n",
    "                                              x['fate'].unique(),\n",
    "                                              ordered=True),\n",
    "                is_valid=lambda x: x['fate'] == 'valid barcode'\n",
    "                ), \n",
    "        aes('fate', 'count', fill='is_valid')) +\n",
    "    geom_bar(stat='identity') +\n",
    "    facet_grid('sample ~ library') +\n",
    "    facet_grid('sample ~ library') +\n",
    "    scale_fill_manual(CBPALETTE, guide=False) +\n",
    "    theme(figure_size=(1.4 * (1 + fates['library'].nunique()),\n",
    "                       1.7 * (1.2 + fates['sample'].nunique())),\n",
    "          axis_text_x=element_text(angle=90),\n",
    "          panel_grid_major_x=element_blank()\n",
    "          ) +\n",
    "    scale_y_continuous(labels=dms_variants.utils.latex_sci_not,\n",
    "                       name='number of reads')\n",
    "    )\n",
    "\n",
    "_ = barcode_fate_plot.draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Output csv of barcode counts in variant-barcode lookup table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing variant counts to results/counts/variant_counts.csv\n"
     ]
    }
   ],
   "source": [
    "print(f\"Writing variant counts to {config['variant_counts_file']}\")\n",
    "counts.to_csv(config['variant_counts_file'], index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The [CodonVariantTable](https://jbloomlab.github.io/dms_variants/dms_variants.codonvarianttable.html#dms_variants.codonvarianttable.CodonVariantTable) has lots of nice functions that can be used to analyze the counts it contains.\n",
    "However, we do that in the next notebook so we don't have to re-run this entire (rather computationally intensive) notebook every time we want to analyze a new aspect of the counts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}