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生物信息学分析中用到的脚本

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846 Commits
01.SnpCalling
01.SnpCalling
 
 
01.分析前过滤
01.分析前过滤
 
 
02.Gene_flow
02.Gene_flow
 
 
02.Pop_Genome
02.Pop_Genome
 
 
03.selection_signature
03.selection_signature
 
 
04.Annoation
04.Annoation
 
 
05.Genome_Diversity
05.Genome_Diversity
 
 
06.CNV
06.CNV
 
 
07.RNA
07.RNA
 
 
circos绘制基因组圈图
circos绘制基因组圈图
 
 
区间取交集
区间取交集
 
 
换染色体号
换染色体号
 
 
CalAlleleFreqFromVcf.py
CalAlleleFreqFromVcf.py
 
 
CalBoxOutlier.py
CalBoxOutlier.py
 
 
CalPCA.py
CalPCA.py
 
 
GetChrFaFromRefGenome.py
GetChrFaFromRefGenome.py
 
 
README.md
README.md
 
 
TreatQTLdbfile.py
TreatQTLdbfile.py
 
 
Vcf2heatmapFile.py
Vcf2heatmapFile.py
 
 
fasta2phy.py
fasta2phy.py
 
 
github-recovery-codes.txt
github-recovery-codes.txt
 
 
pcAngsdCov2eigenvec.py
pcAngsdCov2eigenvec.py
 
 
soft_bcftools.md
soft_bcftools.md
 
 
soft_bedtools.md
soft_bedtools.md
 
 
soft_plink.md
soft_plink.md
 
 
soft_samtools.md
soft_samtools.md
 
 
soft_vcftools.md
soft_vcftools.md
 
 
tools_awk.md
tools_awk.md
 
 
关于基因组中基因结构注释不全.pdf
关于基因组中基因结构注释不全.pdf
 
 
提取区间内SNP位点信息.txt
提取区间内SNP位点信息.txt
 
 
群体历史推断方法-陈华.pdf
群体历史推断方法-陈华.pdf
 
 

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Script-in-Bio

一些基因组分析中用到的脚本

当然，02.Gene_flow 02.Pop_Genome 03.selection_signature 06.CNV 07.RNA部分才是精华

条件有限，可惜可惜

绘图等的脚本可以找另一个目录 Rscript-to-anaylise-and-visualize

理论知识等，可以在Genome-analysis找到

Shi lulu: [email protected]

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生物信息学分析中用到的脚本

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  • Python 50.0%
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  • Shell 24.1%
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