Description

Make plots for interpretation of differential abundance statistics

Input

name:type
description
pattern

meta

:map

Groovy Map containing contrast information, to be passed as reference and target levels, like ‘—reference_level meta.referencetreatmentlevelmeta.reference --treatment_level meta.target’ e.g. [ variable:‘treatment’, reference:‘treated’, control:‘saline’, blocking:” ]

differential_result

:file

statistic differential results

meta2

:map

Groovy Map containing information on experiment represented by max, features and samples, at a minimum an id. e.g. [ id:‘test’ ]

sample

:file

CSV or TSV-format sample sheet with sample metadata

feature_meta

:file

CSV or TSV-format feature (e.g. gene) metadata

assay_file

:file

CSV or TSV matrix file to use alongside differential statistics in interpretation. Usually a normalised form.

Output

name:type
description
pattern

volcanos_png

meta

:map

Groovy Map containing contrast information e.g. [ variable:‘treatment’, reference:‘treated’, control:‘saline’, blocking:” ]

*/png/volcano.png

:file

Meta-keyed tuple containing a PNG output for a volcano plot built from the differential result table.

volcanos_html

meta

:map

Groovy Map containing contrast information e.g. [ variable:‘treatment’, reference:‘treated’, control:‘saline’, blocking:” ]

*/html/volcano.html

:file

Meta-keyed tuple containing an HTML output for a volcano plot built from the differential result table.

versions_shinyngs

${task.process}

:string

The name of the process

shinyngs

:string

The name of the tool

Rscript -e "library(shinyngs); cat(as.character(packageVersion('shinyngs')))"

:eval

The expression to obtain the version of the tool

Topics

name:type
description
pattern

versions

${task.process}

:string

The name of the process

shinyngs

:string

The name of the tool

Rscript -e "library(shinyngs); cat(as.character(packageVersion('shinyngs')))"

:eval

The expression to obtain the version of the tool

Tools

shinyngs
AGPL v3

Provides Shiny applications for various array and NGS applications. Currently very RNA-seq centric, with plans for expansion.