Skip to content

NGS.PRSS1-2caller is a toolkit for calling genetic variants at PRSS1-PRSS2 locus, which enables detecting SNV, INDEL and CNV with high accuracy and sensitivity.

Notifications You must be signed in to change notification settings

Shuhua-Group/NGS.PRSS1-2caller

Repository files navigation

NGS.PRSS1-2caller

NGS.PRSS1-2caller is a toolkit for calling genetic variants at PRSS1-PRSS2 locus, which can solve the problem of misaligned short-reads from the pseudogenes PRSS3P2 and TRY7. NGS.PRSS1-2caller realigns short reads to GRCh38 ALT contig (chr7_KI270803v1_alt) from NGS aligned data with GRCh37/GRCh38 as reference (file in bam format), and detects variants including SNV, INDEL and CNV at PRSS1-PRSS2 locus with high accuracy and sensitivity. NGS.PRSS1-2caller can also annotate the biological consequences of a variant and perform variant phasing with population-level data.

Citation

If you use NGS.PRSS1-2caller, please cite our paper:

Lou H, Xie B, Wang Y, et al Improved NGS variant calling tool for the PRSS1–PRSS2 locus Gut Published Online First: 14 March 2022. doi: 10.1136/gutjnl-2022-327203

Installation

NGS.PRSS1-2caller does not need to be installed. You need to replace the software path in the parameter.txt file with your own software path.

The following software versions have been tested and passed:

software version weblink

python 2.7 https://www.python.org/downloads

perl 5.22.1 https://www.perl.org/get.html

java 11.0.1 https://www.oracle.com/java/technologies/javase/jdk11-archive-downloads.html

R 3.6.0 https://www.r-project.org (with ggplot2,ggthemes)

samtools 1.9 https://sourceforge.net/projects/samtools/files/samtools

bwa 0.7.17-r1188 https://github.com/lh3/bwa/releases

freebayes 1.3.5 https://github.com/ekg/freebayes

beagle 5.2 http://faculty.washington.edu/browning/beagle

snpEff 4.3t https://sourceforge.net/projects/snpeff/files

gatk 4.1.7.0 https://gatk.broadinstitute.org/hc/en-us/articles/360036194592-Getting-started-with-GATK4

The python package of NGS.PRSS1-2caller will be released soon.

Usage

    NGS.PRSS1-2caller.sh -i [filelist] -m [num] -p -n [name]

Options

Required arguments
    -i FILE  Tab-separated bam file list including *sample ID* / *bam file location* / *sample read depth* (U for unknown)

Optional arguments
    -m [num] Mapping quality (default=50)
    -r       Reference genome of input data (GRCh38/GRCh37, dafault=GRCh38)
    -p       Do phasing
    -n       Taskname

Example

    ./NGS.PRSS1-2caller.sh -i example.list -p -n example

Example output

We generated the following results with the data in the NGS.PRSS1-2caller/exp/ directory. The example data are the extracted bam files (NGS with GRCh38 as reference) from the 1000 Genomes Project and Human Genome Diversity Project samples (HG00581, HG03084, HG03490, HGDP00578). All output files can be found in the NGS.PRSS1-2caller/exp/example.out/ directory. NGS.PRSS1-2caller can provide: 1) variants in variant call format (VCF) with phased information, 2) variants with predicted biological consequences, 3) a plot of variant positions at PRSS1-PRSS2 locus, 4) a list of large-impact variants.

  1. Variants detected based on GRCh38 ALT contig in vcf format (variants can be phased if you add [-p]).
  • example_PRSS_snpEff_ann.vcf.gz

f1

2.Variants in vcf format with biological consequences annotated.

  • example_PRSS_snpEff_ann.txt (extracted)

f2

3.Variant position plot with missense, stop-gained and frameshift variants highlighted。

  • example_PRSS_snpEff_ann.plot.pdf

f3

4.List of missense, stop-gained and frameshift variants. For a full list of large-impact variants, please refer to the variants annotated with "HIGH" and "MODERATE" at INFO column in the NAME_PRSS_snpEff_ann.txt file.

  • example_PRSS_snpEff_ann.sum.txt

f4

Credit

Written by Wang Yimin & Xie bo, conceptualized by Lou Haiyi.

Contact

wangyimin@picb.ac.cn

About

NGS.PRSS1-2caller is a toolkit for calling genetic variants at PRSS1-PRSS2 locus, which enables detecting SNV, INDEL and CNV with high accuracy and sensitivity.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published