Description

Call peaks using SEACR on sequenced reads in bedgraph format

Input

name:type
description
pattern

meta

:map

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

bedgraph

:file

The target bedgraph file from which the peaks will be calculated.

ctrlbedgraph

:file

Control (IgG) data bedgraph file to generate an empirical threshold for peak calling.

threshold

:integer

Threshold value used to call peaks if the ctrlbedgraph input is set to []. Set to 1 if using a control bedgraph

Output

name:type
description
pattern

bed

meta

:map

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

*.bed

:file

Bed file containing the calculated peaks.

*.bed

versions_scramble

${task.process}

:string

The name of the process

scramble

:string

The name of the tool

1.3

:string

The expression to obtain the version of the tool

versions_bedtools

${task.process}

:string

The name of the process

bedtools

:string

The name of the tool

bedtools --version | sed -e 's/bedtools v//g'

:eval

The expression to obtain the version of the tool

versions_rbase

${task.process}

:string

The name of the process

r-base

:string

The name of the tool

R --version | sed '1!d; s/.*version //; s/ .*//'

:eval

The expression to obtain the version of the tool

Topics

name:type
description
pattern

versions

${task.process}

:string

The name of the process

scramble

:string

The name of the tool

1.3

:string

The expression to obtain the version of the tool

${task.process}

:string

The name of the process

bedtools

:string

The name of the tool

bedtools --version | sed -e 's/bedtools v//g'

:eval

The expression to obtain the version of the tool

${task.process}

:string

The name of the process

r-base

:string

The name of the tool

R --version | sed '1!d; s/.*version //; s/ .*//'

:eval

The expression to obtain the version of the tool

Tools

seacr
GPL-2.0-only

SEACR is intended to call peaks and enriched regions from sparse CUT&RUN or chromatin profiling data in which background is dominated by "zeroes" (i.e. regions with no read coverage).