Description

Domain-level classification of contigs to bacterial, archaeal, eukaryotic, or organelle

Input

Name (Type)
Description
Pattern

meta (map)

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

]

fasta (file)

FASTA file of assembled contigs.

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

Output

Name (Type)
Description
Pattern

meta (map)

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

]

classifications (file)

TSV file containing per-contig classification probabilities and overall classifications. Gzipped if flag —gz is set.

*.{txt,txt.gz}

log (file)

Log file containing tiara model parameters. Gzipped if flag —gz is set.

log_*.{txt,txt.gz}

fasta (file)

(optional) - fasta files for each domain category specified in command flag -tf, containing classified contigs

*.{fasta,fasta.gz}

versions (file)

File containing software versions

versions.yml
included in
mag
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Tools

tiara
MIT

Deep-learning-based approach for identification of eukaryotic sequences in the metagenomic data powered by PyTorch.

ibe-uw.github.io/tiara ibe-uw.github.io/tiara/" https://github.com/ibe-uw/tiara 10.1093/bioinformatics/btab672