Domain-level classification of contigs to bacterial, archaeal, eukaryotic, or organelle
meta
:map
Groovy Map containing sample information e.g. [ id:‘test’, single_end:false ]
fasta
:file
FASTA file of assembled contigs.
*.{fa,fa.gz,fasta,fasta.gz,fna,fna.gz}
classifications
${prefix}.{txt,txt.gz}
TSV file containing per-contig classification probabilities and overall classifications. Gzipped if flag –gz is set.
*.{txt,txt.gz}
log
log_*.{txt,txt.gz}
Log file containing tiara model parameters. Gzipped if flag –gz is set.
*.{fasta,fasta.gz}
(optional) - fasta files for each domain category specified in command flag -tf, containing classified contigs
-tf
versions_tiara
${task.process}
:string
The process the versions were collected from
tiara
The tool name
1.0.3
The expression to obtain the version of the tool
versions
Deep-learning-based approach for identification of eukaryotic sequences in the metagenomic data powered by PyTorch.
