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Showing module(s) with keyword "wgs"

Module Keywords Description
nf-core/cnvpytor/callcnvs CNV call wgs Command line tool for calling CNVs in whole genome sequencing data
nf-core/ichorcna/createpon ichorcna cnv cna cfDNA wgs panel_of_normals ichorCNA is an R package for calculating copy number alteration from (low-pass) whole genome sequencing, particularly for use in cell-free DNA. This module generates a panel of normals
nf-core/ichorcna/run ichorcna cnv cna cfDNA wgs ichorCNA is an R package for calculating copy number alteration from (low-pass) whole genome sequencing, particularly for use in cell-free DNA
nf-core/manta/germline somatic wgs wxs panel vcf structural variants small indels Manta calls structural variants (SVs) and indels from mapped paired-end sequencing reads. It is optimized for analysis of germline variation in small sets of individuals and somatic variation in tumor/normal sample pairs.
nf-core/manta/somatic somatic wgs wxs panel vcf structural variants small indels Manta calls structural variants (SVs) and indels from mapped paired-end sequencing reads. It is optimized for analysis of germline variation in small sets of individuals and somatic variation in tumor/normal sample pairs.
nf-core/manta/tumoronly somatic wgs wxs panel vcf structural variants small indels Manta calls structural variants (SVs) and indels from mapped paired-end sequencing reads. It is optimized for analysis of germline variation in small sets of individuals and somatic variation in tumor/normal sample pairs.
nf-core/muse/call variant calling somatic wgs wxs vcf pre-filtering and calculating position-specific summary statistics using the Markov substitution model
nf-core/muse/sump variant calling somatic wgs wxs vcf Computes tier-based cutoffs from a sample-specific error model which is generated by muse/call and reports the finalized variants
nf-core/smoove/call structural variants SV vcf wgs smoove simplifies and speeds calling and genotyping SVs for short reads. It also improves specificity by removing many spurious alignment signals that are indicative of low-level noise and often contribute to spurious calls. Developed by Brent Pedersen.
nf-core/strelka/germline variantcalling germline wgs vcf variants Strelka2 is a fast and accurate small variant caller optimized for analysis of germline variation
nf-core/strelka/somatic variant calling germline wgs vcf variants Strelka2 is a fast and accurate small variant caller optimized for analysis of germline variation in small cohorts and somatic variation in tumor/normal sample pairs