Create GC calculator with argparse file input feature

file_input_argparse.py → GC_argparse_file.py

@@ -1,5 +1,6 @@
 # ===================================================== DEPENDENCIES ==============================================================
 import argparse
+import sys
 from Bio import SeqIO
 from Bio import Align
 from Bio.SeqUtils import gc_fraction
@@ -8,7 +9,7 @@
 
 # ===================================================== ARGPARSE SETUP =============================================================
 # Create parser instance
-parser = argparse.ArgumentParser(description = 'Calculate GC content of DNA/RNA sequences from files.')
+parser = argparse.ArgumentParser(description = 'Calculate GC content of DNA/RNA sequences from files of different formats.')
 
 # ----------------------------- Single sequence file formats as optional arguments ------------------------------
 # FASTA nucleic acid files
@@ -28,30 +29,34 @@
 # ClustalW files
 parser.add_argument('-aln', type = argparse.FileType('r', encoding = 'UTF-8'), help = 'Provide .aln file')
 
-
 # Parse command-line arguments that were passed to the script and store them as attributes to args object
 args = parser.parse_args()
 
-if args.fna is not None:
-    record_list =[SeqIO.read(file, "fasta") for file in args.fna]
-    sequence_list = [record.seq for record in record_list]
-    accession_num_list = [record.id.split('|')[3] for record in record_list]
+# Check if no files were provided
+if not any([args.fna, args.fasta, args.gb, args.fa, args.aln]):
+    print("Provide a file to continue")
+    sys.exit(1)  # Exit the script with a status of 1 (indicating an error)
+
+elif args.fna is not None:
+    record_list =[SeqIO.read(file, "fasta") for file in args.fna]            # Make list of SeqRecord objects from file
+    sequence_list = [record.seq for record in record_list]                   # Make list of sequences as Seq objects
+    accession_num_list = [record.id.split('|')[3] for record in record_list] # Make list of accession numbers of sequences
 
 elif args.fasta is not None:
-    record_list =[SeqIO.read(file, "fasta") for file in args.fasta]
-    sequence_list = [record.seq for record in record_list]
-    accession_num_list = [record.id for record in record_list]
+    record_list =[SeqIO.read(file, "fasta") for file in args.fasta]          
+    sequence_list = [record.seq for record in record_list]                   
+    accession_num_list = [record.id for record in record_list]               
 
 elif args.gb is not None:
-    record_list =[SeqIO.read(file, "genbank") for file in args.gb]
+    record_list =[SeqIO.read(file, "genbank") for file in args.gb]          
     sequence_list = [record.seq for record in record_list]
     accession_num_list = [record.id for record in record_list]
 
 elif args.fa is not None:
     alignment = Align.read(args.fa, 'fasta')
     record_list = alignment.sequences
     sequence_list = [record.seq for record in record_list]
-    accession_num_list = [record.id for record in record_list]
+    accession_num_list = [record.id for record in record_list]     # Species name instead of accession number for aligned FASTA files
 
 elif args.aln is not None:
     alignment = Align.read(args.aln, 'clustal')
@@ -68,8 +73,9 @@ def calc_gc(sequence_list):
         gc_list.append(round(gc_fraction(i), 2))
     return gc_list
 
+
 def create_GC_barplot(accession_num_list, gc_list):
-    '''Function that creates barplot of the GC value calculated (not with SWAN) of multiple sequences.
+    '''Function that creates barplot of the GC value calculated of multiple sequences without sliding window analysis.
     '''
     fig, ax = plt.subplots()
 
@@ -98,5 +104,8 @@ def create_GC_barplot(accession_num_list, gc_list):
     plt.show()
 
 
+# Calculate GC content of sequences from file
 gc_content_list = calc_gc(sequence_list)
+
+# Create barplot of GC content
 create_GC_barplot(accession_num_list, gc_content_list)

gc_calc.py → GC_user_input.py

@@ -4,7 +4,6 @@
 from matplotlib import pyplot as plt
 plt.style.use('ggplot')
 
-
 # ===================================================== FUNCTIONS =================================================================
 def calculate_gc(sequence):
     ''' Simple function that calculates GC content of a single sequence and rounds the floating point number to the third decimal place.
@@ -29,7 +28,7 @@ def multiple_gc(seq_choice):
 def calculate_window_gc(sequence, window, step):
     '''Function that calculates the GC content of a single sequence with the sliding window method. The window and step size are passed in
     as positional arguments and the user defines their values accordingly. Returns a tuple of a list of the windows the sequence has been 
-    split to and a list with the respective gc values of every window analyzed.
+    split to and a list with the respective GC values of every window analyzed.
 
         [Sliding window analysis (SWAN) is a commonly used method for studying the properties of molecular sequences:
         data are plotted as moving averages of a particular criterion, such as the number of nucleotide changes,
@@ -48,7 +47,7 @@ def calculate_window_gc(sequence, window, step):
 
 
 def create_window_plot(sequence):
-    '''Function that takes plots the SWAN calculated content of a single sequence passed in by the user.
+    '''Function that plots the SWAN calculated content of a single sequence passed in by the user.
     '''
     x_axis, y_axis = calculate_window_gc(sequence, window_size, step_size)
     plt.plot(x_axis, y_axis, color = "k", linestyle = "--", marker = "o", label = f"{sequence}")
@@ -93,7 +92,7 @@ def create_GC_barplot(x, y):
     fig.tight_layout()
     plt.show()
 
-    
+
 # ====================================================== LOGIC =====================================================================
 print("Welcome to GC calculator!")
 seq_choice = int(input("Please enter the number of the sequences you want to analyze today. "))

Tests/NC_005816.fna

@@ -0,0 +1,139 @@
+>gi|45478711|ref|NC_005816.1| Yersinia pestis biovar Microtus str. 91001 plasmid pPCP1, complete sequence
+TGTAACGAACGGTGCAATAGTGATCCACACCCAACGCCTGAAATCAGATCCAGGGGGTAATCTGCTCTCC
+TGATTCAGGAGAGTTTATGGTCACTTTTGAGACAGTTATGGAAATTAAAATCCTGCACAAGCAGGGAATG
+AGTAGCCGGGCGATTGCCAGAGAACTGGGGATCTCCCGCAATACCGTTAAACGTTATTTGCAGGCAAAAT
+CTGAGCCGCCAAAATATACGCCGCGACCTGCTGTTGCTTCACTCCTGGATGAATACCGGGATTATATTCG
+TCAACGCATCGCCGATGCTCATCCTTACAAAATCCCGGCAACGGTAATCGCTCGCGAGATCAGAGACCAG
+GGATATCGTGGCGGAATGACCATTCTCAGGGCATTCATTCGTTCTCTCTCGGTTCCTCAGGAGCAGGAGC
+CTGCCGTTCGGTTCGAAACTGAACCCGGACGACAGATGCAGGTTGACTGGGGCACTATGCGTAATGGTCG
+CTCACCGCTTCACGTGTTCGTTGCTGTTCTCGGATACAGCCGAATGCTGTACATCGAATTCACTGACAAT
+ATGCGTTATGACACGCTGGAGACCTGCCATCGTAATGCGTTCCGCTTCTTTGGTGGTGTGCCGCGCGAAG
+TGTTGTATGACAATATGAAAACTGTGGTTCTGCAACGTGACGCATATCAGACCGGTCAGCACCGGTTCCA
+TCCTTCGCTGTGGCAGTTCGGCAAGGAGATGGGCTTCTCTCCCCGACTGTGTCGCCCCTTCAGGGCACAG
+ACTAAAGGTAAGGTGGAACGGATGGTGCAGTACACCCGTAACAGTTTTTACATCCCACTAATGACTCGCC
+TGCGCCCGATGGGGATCACTGTCGATGTTGAAACAGCCAACCGCCACGGTCTGCGCTGGCTGCACGATGT
+CGCTAACCAACGAAAGCATGAAACAATCCAGGCCCGTCCCTGCGATCGCTGGCTCGAAGAGCAGCAGTCC
+ATGCTGGCACTGCCTCCGGAGAAAAAAGAGTATGACGTGCATCTTGATGAAAATCTGGTGAACTTCGACA
+AACACCCCCTGCATCATCCACTCTCCATCTACGACTCATTCTGCAGAGGAGTGGCGTGATGATGGAACTG
+CAACATCAACGACTGATGGCGCTCGCCGGGCAGTTGCAACTGGAAAGCCTTATAAGCGCAGCGCCTGCGC
+TGTCACAACAGGCAGTAGACCAGGAATGGAGTTATATGGACTTCCTGGAGCATCTGCTTCATGAAGAAAA
+ACTGGCACGTCATCAACGTAAACAGGCGATGTATACCCGAATGGCAGCCTTCCCGGCGGTGAAAACGTTC
+GAAGAGTATGACTTCACATTCGCCACCGGAGCACCGCAGAAGCAACTCCAGTCGTTACGCTCACTCAGCT
+TCATAGAACGTAATGAAAATATCGTATTACTGGGGCCATCAGGTGTGGGGAAAACCCATCTGGCAATAGC
+GATGGGCTATGAAGCAGTCCGTGCAGGTATCAAAGTTCGCTTCACAACAGCAGCAGATCTGTTACTTCAG
+TTATCTACGGCACAACGTCAGGGCCGTTATAAAACGACGCTTCAGCGTGGAGTAATGGCCCCCCGCCTGC
+TCATCATTGATGAAATAGGCTATCTGCCGTTCAGTCAGGAAGAAGCAAAGCTGTTCTTCCAGGTCATCGC
+TAAACGTTACGAAAAGAGCGCAATGATCCTGACATCCAATCTGCCGTTCGGGCAGTGGGATCAAACGTTC
+GCCGGTGATGCAGCACTGACCTCAGCGATGCTGGACCGTATCTTACACCACTCACATGTCGTTCAAATCA
+AAGGAGAAAGCTATCGACTCAGACAGAAACGAAAGGCCGGGGTTATAGCAGAAGCTAATCCTGAGTAAAA
+CGGTGGATCAATATTGGGCCGTTGGTGGAGATATAAGTGGATCACTTTTCATCCGTCGTTGACACCCTGA
+TGAATTCACGTGTTCACGCCTGAATAACAAGAATGCCGGAGATACGCAGTCATATTTTTTACACAATTCT
+CTAATCCCGACAAGGTCGTAGGTCGTTATAGGAAAATTCTTAGCACCATTCCGGAACAATCAGAACAGCA
+GGCCATGAACGACTGACAACATTACGAATATAAAAAACGCACCCGGGCCAGACATTCCCCCTACTGATTA
+AACCAGCCGGACTTGTCCACGGAACGGTCTTTTTAAACCGACACACAGTCTGAGTACAGATACATGTCAC
+GATGATGCAGGATTAGCGGAAGAGTGTGAGCACGTTTCCGGGAACTGTGGTGAACCATAGCTCAATATTC
+GAGTGAGGGCATACCGGAAACGCGCTCAGATTCGTTGTAACGCGATTTTCCGTACCGGGCAATTTTTTCA
+GTTGTTTTTTCGTTTCATGTCGTCAGAAACGTTCTGAGCGCGTTTCCGGCATCTGATGCTACGCAAACCA
+TCCCCATGGTCAGTTGACAGCCGGAAACACGCGGGTGTCGTTTTAGCGTATCGACGGGACGGCGTCGAGA
+AGCACAAAAAACAGATGTTGTACTCAGTCAGTTGTTTTACAGACAGCACTGCGGCAGATTGAAAAAGTAC
+CGTACTTTCAGGAATGTCCAGAAACCATGTGTCAGACTTCGTTCTCCCCCTTCCGGGTGAATTTTTTTGT
+CATCCGTTCAGGAATCTCTTTATAACGATTACTCCATTTCAGGATTTTTTATGTGGCGTTTACTACAGGC
+AGGATATTCAAAGGCAAAAAAATCCCCCGGAACAGGCGGAACCCGGACAGGGGGAGAACGAATCGCTAAA
+TAATTTTCGTAGTTGTATTTCCCATCGTTGCTACTGCAACGGGATGAATTTGCCGCAGTTTATCCTGTAA
+AACAATCCTGATTTACTCACACTCCACATATCACTGACGGAGCACAACGGAATAGTGAACAAACAACAAC
+AAACTGCGCTGAATATGGCGCGATTTATCAGAAGCCAGAGCCTGATACTGCTTGAAAAACTGGATGCTCT
+GGATGCCGACGAGCAGGCGGCCATGTGTGAACGACTGCACGAACTCGCGGAAGAACTCCAGAACAGCATC
+CAGGCTCGCTTTGAAGCCGAAAGTGAAACAGGAACATAACGAAGCTCCCGGAGACGGTCACAGCTTGTCT
+GTGAACGGATGCCGGGAGCAGACAAGCCCGTCAGGGCGCGTCAGCGGGTTTTAGCGGGTGTCGGGGCGCA
+GCCATGACCCAGTCACGTAGCGATAGCGGAGTGTATACTGGCTTAGTCATGCGGCATCAGTGCGGATTGT
+ATGAAAAGTGCACCATGTACGGTGTGAAATGCCGCACAGATGCGTAAGGAGAACATGCAGATGCCGATGC
+TCTTCCGCTTCCTCGCTCACTGACTCGCTGCGCTCGGTCGTTCGGCTGCGGCGAGCGGTGTCTGCTCACT
+CAAAAGCGGTGATACTGTTATCCACACAATCAGGGGATAACGCCGGAAAGAACATGTGAGCAAAAAACGA
+AGACCCCAGAAAAGGCCGCGCCGGAGGCGCTTTTTCCATAGGCTCCGCCCCCCTGACGAGCATCACAAAA
+ATCGACGCTCAAGTCAGAGGTGGCGAAACCCGACAGGACTTAAAGATACCAGGCGTTTCCCCCCGGAAGC
+TCCCTCGTGCGCTCTCCTGTTCCGACCCTGCCGCTTACCGGATACCTCTCCGCCTTTCTCCCTTCGGGAA
+GCGTGGCGCTTTCTCATAGCTCACGCTGTTGGTATCTCAGTTCGGTGTAGGTCGTTCGCTCCAAGCTGGG
+CTGTGTGCACGAACCCCCCGTTCAGCCCGACCACTGCGCCTTATCCGGTAACTATCGTCTTGAGTCCAAC
+CCGGTAAGACACGACTTTACGCCACTGGCAGCAGCCATTGGTAACTGAAAAGTGGATTTAGATACGCAGA
+ACTCTTGAAGTTGAAGCCTTATCGCGGCTACACTGAAAGGACAGCATTTGGTATCTGTGCTCCACTTAAG
+CCAGCTACCACAGGTTAGAAAGCCTGAGAAACTTCTAACCTTCGAAAGAACCCACGCCTGAGAACGTGGG
+TTTTTTCGTTTACAGGCAGCAGATTACGCGCAGAAAAAAAGGATCTCAAGAAGATCCTTTGATCTTTTCT
+ACTGAATTGCGCTCCCGATCAGTTCAGCAGAAGATTATGATGGGGTTCTATGGGTATTGCTGCGGTAACA
+CCCATGTTACTTGAGGTTGTATGTAGTCTGTGTAGAATTATACACATAAGGCTTAAACTGCTCTTTTTTT
+TCAATATGCAATTGGAAGTTCATTGACTACATAAATAGATTATTCCAAATAATTTATTTATGTAAGAACA
+GGATGGGAGGGGGAATGATCTCAAAGTTATTTTGCTTGGCTCTCATATTTTTATCATCAAGTGGCCTTGC
+AGAAAAAAACACATATACAGCAAAAGACATCTTGCAAAACCTAGAATTAAATACCTTTGGCAATTCATTG
+TCTCATGGCATCTATGGGAAACAGACAACCTTCAAGCAAACCGAGTTTACAAATATTAAAAGCAACACCA
+AAAAACACATTGCACTTATCAATAAAGACAACTCATGGATGATATCATTAAAAATACTAGGAATTAAGAG
+AGATGAGTATACTGTCTGTTTTGAAGATTTCTCTCTAATAAGACCGCCAACATATGTAGCCATACATCCT
+CTACTTATAAAAAAAGTAAAATCTGGAAACTTTATAGTAGTGAAAGAAATAAAGAAATCTATCCCTGGTT
+GCACTGTATATTATCATTAATAGCAAGCCCCTCATTATTATGAGGGGCTCATGGTTATTTTAACAATCCA
+CTATCGATATCTTTTTGCACCAGAGCGCCCTCTCGTTTACGTCTGTCAGACATTCCATCAACAATATTAT
+TAAAAGCATTTACAAGGCCATTCCAGTCTTTTGCGATAACTTTATTCCATACTGTGGGAGCAGTTCTGGA
+TAACTTAAACCCTTTTTGATATCCAATAGACACCAGTGCTGTACGGGTTCTCAACGGTAAATCGCTGAAC
+CGAAGACCGATATTAGCGTCATTGAAAAGACCTTCAATCTTATGTGAGAATTTATCAATATAAATATTAG
+ATAAGAGATGAGCTTCATTATCAGAAAGCGTCAGAGGTGCTGTTCTCACTTTATCATAAGCCTCCTTCCC
+TCGAAGCATATAATACCCATCAAGTCTATCTGCAATATACTGAGGGACACCGTCATTCAATAAATCCTGT
+TTGCTTCGCTGACCAAGGTCAACCCCGGAACCGAATGTAACACCGGTACTGTTAAAATAATCGCTACTAG
+GATTAGACGGAAAATGACTTGTCGGATTAAACCCTTCAAAACCATTACTGGAGAAAATATCGTGGTCAAC
+AATATTTACCGAACGACGTAAAAATTCCTTCAGTTGACTAATATTGTCAAAGTTAATGACAGTGTTGTCC
+GCTAGGACGATGCGATTTCGGTTATTATTCAGAATGTCTTCGTTCTCTTTCTTATCGAGATGTTCAATAG
+ATTCGGCAATCGTTCCCTCAAGAACCATGACACGGTAGACTTTCACACCGTCTTTTTCCTGACCTGTTTC
+AACAGTTATTTTCTGTTCGTAAGACACGGTCCCTTCAGTTTTTGAAATTTTACTTTCCTGGCGGATCTTA
+TTTGAATATTCACTGTCTTTCTCCATCTCCGTATCAATCGGAAACCCCATAATGTACATCAGTTTAAAAT
+TACTCCGGCCAGGCAGATCCACATAATGTGGTAATGCAATTGTAATCGAATTAGCTTCAAAATTTGGTCT
+GTAACTGCTTAATGTACTTCCGGAAAAGAGAAAAGCCGGAACACCACCTGAACCATTCACTACCATTGTA
+TCTGACATAAAAATTCCTCTTTAACACATAAAAAAAACAATAAGTTAAAAAAATACTGTACATAAAAGCA
+CTGTTTTTATGTACAGTAATAAAATTACGCCGCTTTATTTTCTCTGTCAATAATATGAAATTTCATTTTT
+GTGATCTGAATCACTCTTATAAAAATCAGGAAGGGAAGATTCGCAGCAGAAAAACAGCACCGGGTAACAT
+CAGAAAAAAACAGAAAGGAGATAACGTGAGCAAAACAAAATCTGGTCGCCACCGACTGAGCAAAACAGAC
+AAACGCCTGCTGGCTGCACTTGTCGTTGCCGGATACGAAGAACGGACAGCCCGTGACCTCATCCAGAAAC
+ACGTTTACACACTGACACAGGCCGACCTGCGCCATCTGGTCAGTGAAATCAGTAACGGTGTGGGACAGTC
+ACAGGCCTACGATGCGATTTACCAGGCGAGACGCATTCGTCTCGCCCGTAAATACCTGAGCGGAAAAAAA
+CCGGAAGGGGTGGAACCCCGGGAAGGGCAGGAACGGGAAGATTTACCATAACTCCCGTTATCAGTACCAT
+CGGCTCAACGCTCGTTGTCGGATCTGAAAAATTCGCTCAAAAGATCATATTTCCCTGGATATTTTCCACC
+GTTTCTTATGTGAGAAAAGTCACATAATTCTGTCAGACGACGAGAAAACGGATATCGATTATTGTTTAAT
+ATTTTTACATTATTAAAAATGAAATTAGATAATCAGATACAAATAATATGTTTTCGTTCATGCAGAGAGA
+TTAAGGGTGTCTAATGAAGAAAAGTTCTATTGTGGCAACCATTATAACTATTCTGTCCGGGAGTGCTAAT
+GCAGCATCATCTCAGTTAATACCAAATATATCCCCTGACAGCTTTACAGTTGCAGCCTCCACCGGGATGC
+TGAGTGGAAAGTCTCATGAAATGCTTTATGACGCAGAAACAGGAAGAAAGATCAGCCAGTTAGACTGGAA
+GATCAAAAATGTCGCTATCCTGAAAGGTGATATATCCTGGGATCCATACTCATTTCTGACCCTGAATGCC
+AGGGGGTGGACGTCTCTGGCTTCCGGGTCAGGTAATATGGATGACTACGACTGGATGAATGAAAATCAAT
+CTGAGTGGACAGATCACTCATCTCATCCTGCTACAAATGTTAATCATGCCAATGAATATGACCTCAATGT
+GAAAGGCTGGTTACTCCAGGATGAGAATTATAAAGCAGGTATAACAGCAGGATATCAGGAAACACGTTTC
+AGTTGGACAGCTACAGGTGGTTCATATAGTTATAATAATGGAGCTTATACCGGAAACTTCCCGAAAGGAG
+TGCGGGTAATAGGTTATAACCAGCGCTTTTCTATGCCATATATTGGACTTGCAGGCCAGTATCGCATTAA
+TGATTTTGAGTTAAATGCATTATTTAAATTCAGCGACTGGGTTCGGGCACATGATAATGATGAGCACTAT
+ATGAGAGATCTTACTTTCCGTGAGAAGACATCCGGCTCACGTTATTATGGTACCGTAATTAACGCTGGAT
+ATTATGTCACACCTAATGCCAAAGTCTTTGCGGAATTTACATACAGTAAATATGATGAGGGCAAAGGAGG
+TACTCAGATCATTGATAAGAATAGTGGAGATTCTGTCTCTATTGGCGGAGATGCTGCCGGTATTTCCAAT
+AAAAATTATACTGTGACGGCGGGTCTGCAATATCGCTTCTGAAAAATACAGATCATATCTCTCTTTTCAT
+CCTCCCCTAGCGGGGAGGATGTCTGTGGAAAGGAGGTTGGTGTTTGACCAACCTTCAGATGTGTGAAAAA
+TCACCTTTTTCACCATAATGACGGGGCGCTCATTCTGTTGTTTTGCCTTGACATTCTCCACGTCTTTCAG
+GGCATGGAGAAGGTCAAATTAGACATGGAACGCTACTCTCCTTCCTGTAGGAAGCTCAACATCCAAGCTT
+AATTTGCCTCCCATTGCTTCAACGTAACGCTTTAACGTCGCCAGCTTTAAATCATTTCCGCGCTGCTCCA
+GCTTTGTTACTGCTGGCTGGCTTATACCCATCGCCTCAGCAACTTGTTTTTGTGATAACTGGAGTTCTTC
+ACGCATCATCTGCAAGCCGACCTCAAGAATCATCTCATCTGCCATTTCTTTAATTCGTGTCTGGCTTTCA
+GGTGAACGACTGGCAATCACCTCATCTAATGTTCTCATTACTTGCTCTCCAGTGTGTTCAGATGTGCTGT
+AAATTCATCCTCAGCTATACGCACCAGTTTTTCATAAAACCGCTTATCATTACTTTTATCTCCTGCACAA
+AGAACGATAGCCCGACGAATCGGATCGAACGCATAAAAGGCTCTTATCGGACGGCCAGAAAACTGAACGC
+GAAGCTCTTTCATATTTTTGTACCGAGAACCTTTCACGGTATCGGCATATGGCCTGGGTAACTCAGGTCC
+GTAAACCTGTAGCTTTTTCAAATCAGCCAAAACCTTTTCCTGAAGAGCGTCTTCTTGCTCATTTAGCCAG
+TCGTCAAATCGCTGGCTAAAAAGTACCATCCACATGCTCAACCCTATAACCTGTAGCTTACCCCACTAAC
+AATATAACCTACGAGTTATATTTTCAAGAAAAGCTGGCTATTTAACATAACGGCAATTTGTACGCACCAC
+TGAAATGCGTTCAGCGCGATCACGGCAACAGACAGGCAAAAATAGCAACAAACCTCCCGAAAAACCGCCG
+CGATCGCGCCTGATAAATTTTAACCTTATGCATATCTATGCAGCCAGGCGAATCACGAACGAATTGCCTG
+CCTGATGTAACTGAAACGGGTGTTTTTTCCTGATTTGGTGGGCGTGGAAGACGGAACATGAACGGGAAAA
+CAGAATTCATGCCAGATGAGCGCGATCTGGCAATTAAGGCAAAACACAGCAACAAAGACACGCCAGAATC
+GCGCCCGGATATGTTTTAACGCGATTTTCAGACTCAGACAAATTCAGCAGAATGCTACTCCATTCACCGG
+GCTGATGGTGAATACATGCGTATCCAGGATGAGTACATTTCTGGCTCTGCCACAGCTCTGTCTGTTGGCA
+GCTTTCGCCTGTCCGGAAACCTGCTTAAAACGCTCCCGAAAGGCCTCTGAACCAGAAAGCAACAAAACAC
+AGGCCATTAAGTAAATCGCGTTAAAACACGTCTGATGGATTGCTGCAAAAAAAAGTCCCTAATGGAGCAG
+GGACTGTTAAACCCAGTGAATAGCGTCTAAATTAAAGTAAGAATACGACCAGGTACTCTTCAGAAAAGAG
+ATTAATCCACCGCACAGAATAATCAACAGTAAAAACAAACAACCCTGATTTTTTATTTTTCTTTTTTTCG
+ATAAAAACAAAATTAAAGAAATAATTAATCAGAACATTCCTTAACTTCAGGGCATTGCCTGTGTTCCATT
+TTGTGATTAGTCTGAAACTTCCGAAGGTGGATAACACCCGGTATTTTTTTGCTCACATAAAGCCCCTCCT
+TCAGGCAGAGGGGCTTTTTCTTTGCCACCACATAAAAAAGGCCCTCACAGGAGGTGTTCTGTGAGGGCGT
+ATGATAAGGACTGAATCGATGGTTAATATGTCTAGTCCTGACTTTTGCATCTCCGAATATAAAACCCTGT
+TTAACGGCATGCAAAACCAAAAAATAAAAATGTGACATCGCAATGCCAGATAATATTGACGCATGAGGGA
+ATGCGTACCCCGACCCCTG