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Showing module(s) with keyword "gatk4"

Module Keywords Description
nf-core/gatk4/analyzecovariates bqsr gatk4 genomics Evaluate and compare base quality score recalibration (BQSR) tables
nf-core/gatk4/annotateintervals annotateintervals annotation bed gatk4 intervals Annotates intervals with GC content, mappability, and segmental-duplication content
nf-core/gatk4/applybqsr bam base quality score recalibration bqsr cram gatk4 Apply base quality score recalibration (BQSR) to a bam file
nf-core/gatk4/applyvqsr gatk4 variant quality score recalibration vcf vqsr Apply a score cutoff to filter variants based on a recalibration table. AplyVQSR performs the second pass in a two-stage process called Variant Quality Score Recalibration (VQSR). Specifically, it applies filtering to the input variants based on the recalibration table produced in the first step by VariantRecalibrator and a target sensitivity value.
nf-core/gatk4/asereadcounter allele-specific asereadcounter gatk4 vcf Calculates the allele-specific read counts for allele-specific expression analysis of RNAseq data
nf-core/gatk4/baserecalibrator base quality score recalibration table bqsr gatk4 sort Generate recalibration table for Base Quality Score Recalibration (BQSR)
nf-core/gatk4/bedtointervallist bed bedtointervallist gatk4 interval list Creates an interval list from a bed file and a reference dict
nf-core/gatk4/calculatecontamination gatk4 calculatecontamination cross-samplecontamination getpileupsummaries filtermutectcalls Calculates the fraction of reads from cross-sample contamination based on summary tables from getpileupsummaries. Output to be used with filtermutectcalls.
nf-core/gatk4/calibratedragstrmodel gatk4 bam cram sam calibratedragstrmodel estimates the parameters for the DRAGstr model
nf-core/gatk4/cnnscorevariants cnnscorevariants gatk4 variants Apply a Convolutional Neural Net to filter annotated variants
nf-core/gatk4/collectreadcounts collectreadcounts bam cram gatk4 Collects read counts at specified intervals. The count for each interval is calculated by counting the number of read starts that lie in the interval.
nf-core/gatk4/collectsvevidence gatk4 collectsvevidence structural variants metrics Gathers paired-end and split read evidence files for use in the GATK-SV pipeline. Output files are a file containing the location of and orientation of read pairs marked as discordant, and a file containing the clipping location of all soft clipped reads and the orientation of the clipping.
nf-core/gatk4/combinegvcfs gvcf gatk4 vcf combinegvcfs short variant discovery Combine per-sample gVCF files produced by HaplotypeCaller into a multi-sample gVCF file
nf-core/gatk4/composestrtablefile composestrtablefile dragstr gatk4 This tool looks for low-complexity STR sequences along the reference that are later used to estimate the Dragstr model during single sample auto calibration CalibrateDragstrModel.
nf-core/gatk4/concordance concordance gatk4 gatk genomics variant calling genotyping vcf comparison Evaluate concordance of an input VCF against a validated truth VCF
nf-core/gatk4/condensedepthevidence condensedepthevidence evidence gatk4 Merges adjacent DepthEvidence records
nf-core/gatk4/createreadcountpanelofnormals createreadcountpanelofnormals gatk4 panelofnormals Creates a panel of normals (PoN) for read-count denoising given the read counts for samples in the panel.
nf-core/gatk4/createsequencedictionary createsequencedictionary dictionary fasta gatk4 Creates a sequence dictionary for a reference sequence
nf-core/gatk4/createsomaticpanelofnormals createsomaticpanelofnormals gatk4 panelofnormals Create a panel of normals constraining germline and artifactual sites for use with mutect2.