×

Nextflow Modules

Clear

Showing module(s) with keyword "somatic"

Module Kind Keywords Description
nf-core/controlfreec/assesssignificance Process cna cnv somatic single tumor-only Add both Wilcoxon test and Kolmogorov-Smirnov test p-values to each CNV output of FREEC
nf-core/controlfreec/freec Process cna cnv somatic single tumor-only Copy number and genotype annotation from whole genome and whole exome sequencing data
nf-core/controlfreec/freec2bed Process cna cnv somatic single tumor-only Plot Freec output
nf-core/controlfreec/freec2circos Process cna cnv somatic single tumor-only Format Freec output to circos input format
nf-core/controlfreec/makegraph Process cna cnv somatic single tumor-only Plot Freec output
nf-core/controlfreec/makegraph2 Process cna cnv somatic single tumor-only Plot Freec output
nf-core/gatk4/mutect2 Process gatk4 haplotype indels mutect2 snvs somatic Call somatic SNVs and indels via local assembly of haplotypes.
nf-core/happy/ftxpy Process happy featuretable somatic extraction Somatic VCF Feature Extraction tool from hap.y.
nf-core/lofreq/somatic Process variant calling low frequency variant calling somatic variants vcf Lofreq subcommand to call low frequency variants from alignments when tumor-normal paired samples are available
nf-core/manta/germline Process 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 Process 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 Process 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/msisensorpro/msisomatic Process micro-satellite-scan msisensor-pro msi somatic MSIsensor-pro evaluates Microsatellite Instability (MSI) for cancer patients with next generation sequencing data. It accepts the whole genome sequencing, whole exome sequencing and target region (panel) sequencing data as input
nf-core/muse/call Process variant calling somatic wgs wxs vcf pre-filtering and calculating position-specific summary statistics using the Markov substitution model
nf-core/muse/sump Process 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/parabricks/deepsomatic Process variant somatic vcf deepsomatic tumor normal NVIDIA Clara Parabricks GPU-accelerated somat