modules/cnvkit_batch

Copy number variant detection from high-throughput sequencing data

cnvkitbamfastacopy number

https://github.com/nf-core/modules/[...]/modules/nf-core/cnvkit/batch

Description

Copy number variant detection from high-throughput sequencing data

Input

name:type

description

pattern

`meta:map`

Groovy Map containing sample information e.g. [ id:‘test’, single_end:false ]

`tumor:file`

Input tumour sample bam file (or cram)

`normal:file`

Input normal sample bam file (or cram)

`meta2:map`

Groovy Map containing reference information e.g. [ id:‘test’ ]

`fasta:file`

Input reference genome fasta file (only needed for cram_input and/or when normal_samples are provided)

`meta3:map`

Groovy Map containing reference information e.g. [ id:‘test’ ]

`fasta_fai:file`

Input reference genome fasta index (optional, but recommended for cram_input)

`meta4:map`

Groovy Map containing information about target file e.g. [ id:‘test’ ]

`targets:file`

Input target bed file

`meta5:map`

Groovy Map containing information about reference file e.g. [ id:‘test’ ]

`reference:file`

Input reference cnn-file (only for germline and tumor-only running)

`panel_of_normals:file`

Input panel of normals file

Output

name:type

description

pattern

`bed`

`meta:map`

Groovy Map containing sample information e.g. [ id:‘test’, single_end:false ]

`*.bed:file`

File containing genomic regions

*.{bed}

`cnn`

`meta:map`

Groovy Map containing sample information e.g. [ id:‘test’, single_end:false ]

`*.cnn:file`

File containing coverage information

*.{cnn}

`cnr`

`meta:map`

Groovy Map containing sample information e.g. [ id:‘test’, single_end:false ]

`*.cnr:file`

File containing copy number ratio information

*.{cnr}

`cns`

`meta:map`

Groovy Map containing sample information e.g. [ id:‘test’, single_end:false ]

`*.cns:file`

File containing copy number segment information

*.{cns}

`pdf`

`meta:map`

Groovy Map containing sample information e.g. [ id:‘test’, single_end:false ]

`*.pdf:file`

File with plot of copy numbers or segments on chromosomes

*.{pdf}

`png`

`meta:map`

Groovy Map containing sample information e.g. [ id:‘test’, single_end:false ]

`*.png:file`

File with plot of bin-level log2 coverages and segmentation calls

*.{png}

`versions`

`versions.yml:file`

File containing software versions

versions.yml

Tools

cnvkit
Apache-2.0

CNVkit is a Python library and command-line software toolkit to infer and visualize copy number from high-throughput DNA sequencing data. It is designed for use with hybrid capture, including both whole-exome and custom target panels, and short-read sequencing platforms such as Illumina and Ion Torrent.

cnvkit.readthedocs.io/en/stable

modules/cnvkit_batch

Description

Input

meta:map

tumor:file

normal:file

meta2:map

fasta:file

meta3:map

fasta_fai:file

meta4:map

targets:file

meta5:map

reference:file

panel_of_normals:file

Output

bed

meta:map

*.bed:file

cnn

meta:map

*.cnn:file

cnr

meta:map

*.cnr:file

cns

meta:map

*.cns:file

pdf

meta:map

*.pdf:file

png

meta:map

*.png:file

versions

versions.yml:file

Tools

cnvkit Apache-2.0

included in

maintainers

get in touch

`meta:map`

`tumor:file`

`normal:file`

`meta2:map`

`fasta:file`

`meta3:map`

`fasta_fai:file`

`meta4:map`

`targets:file`

`meta5:map`

`reference:file`

`panel_of_normals:file`

`bed`

`meta:map`

`*.bed:file`

`cnn`

`meta:map`

`*.cnn:file`

`cnr`

`meta:map`

`*.cnr:file`

`cns`

`meta:map`

`*.cns:file`

`pdf`

`meta:map`

`*.pdf:file`

`png`

`meta:map`

`*.png:file`

`versions`

`versions.yml:file`

cnvkit
Apache-2.0