Description

Complete gapseq workflow from genome to gap-filled model

Input

name:type
description
pattern

meta

:map

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

fasta

:file

Protein or genomic FASTA file

*.{fasta,fa,faa,fna,gz}

medium

:file

Optional medium definition file (CSV format)

*.csv

Output

name:type
description
pattern

model

meta

:map

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

*.RDS

:file

Gap-filled metabolic model in RDS format

*.RDS

tbl

meta

:map

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

*.tbl

:file

TBL files containing pathway and transporter predictions

*.tbl

fna

meta

:map

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

*.fna

:file

Optional extracted sequences in FASTA format

*.fna

log

meta

:map

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

*.log

:file

Log files from gapseq doall

*.log

versions_gapseq

${task.process}

:string

The name of the process

gapseq

:string

The name of the tool

gapseq -v 2>&1 | grep -oP "\d+\.\d+\.\d+"

:string

The expression to obtain the version of the tool

Topics

name:type
description
pattern

versions

${task.process}

:string

The name of the process

gapseq

:string

The name of the tool

gapseq -v 2>&1 | grep -oP "\d+\.\d+\.\d+"

:string

The expression to obtain the version of the tool

Tools

gapseq
AGPL-3.0-only

gapseq is designed to combine metabolic pathway analysis with metabolic network reconstruction and curation. The doall command runs the complete workflow: pathway prediction, transporter inference, model construction, and gap filling.