Name: 2016_project_8
Owner: hackseq
Description: Explore the use of 10x Genomics' Linked-Reads to unlock currently inaccessible parts of the genome
Created: 2016-08-31 22:57:36.0
Updated: 2017-08-04 12:17:42.0
Pushed: 2016-10-18 00:20:37.0
Homepage: null
Size: 251
Language: Python
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Project Team 8 for HackSeq 2016 in Vancouver BC, Canada. The repository contains two projects.
/somatic/
)Calling somatic mutation from tumor tissues only is challenge not only because you do not have a control to facilitate filtering out germline variants but it is difficult to differentiate low frequency somatic mutation from sequence noise/errors. In this study, we investigate whether we can leverage phasing information from reads to help differentiate somatic variants from germline alterations and sequencing errors.
This repository codebase dependes on 10xGenomics' longranger
toolset. Download and install longranger. It also depends on the linked-reads data from 10xGenomics.
count/count.py
Get the counts of alt/ref (hap1, hap2, unphased, chrom, pos, from VCF file.
on count.py [--bed=<bed>] <ref_path> <vcf_path> <bam_path> <output_csv_path>
return value: Writes to disk a CSV file (given by output_csv_path
) with columns : alt,chrom,filter,h1_alt,h1_ref,h2_alt,h2_ref,in_bed,pos,ref,un_alt,un_ref
somatic_probability.py
Test run the somatic test on phased allele count data.
on somatic_test <count_file> <result_file>