Description

Classifies metagenomic sequence data using unique k-mer counts

Input

Name (Type)
Description
Pattern

meta (map)

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

]

sequences (file)

List of input files containing sequences. All of them must be either in FASTA or FASTQ format.

sequence_type (string)

Format of all given sequencing files as literal string, either ‘fasta’ or ‘fastq’.

{fasta,fastq}

db (directory)

KrakenUniq database

ram_chunk_size (string)

Amount of maximum amount of RAM each chunk of database that should be loaded at any one time

*GB

save_output_reads (boolean)

Optionally, commands are added to save classified and unclassified reads
as FASTQ or FASTA files depending on the input format. When the input
is paired-end, the single output FASTQ contains merged reads.

report_file (boolean)

Whether to generate a report of relative abundances.

save_output (boolean)

Whether to save a file reporting the taxonomic classification of each input read.

Output

Name (Type)
Description
Pattern

meta (map)

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

]

classified_reads (file)

Reads classified as belonging to any of the taxa
in the KrakenUniq reference database.

*.classified.{fastq,fasta}.gz

unclassified_reads (file)

Reads not classified to any of the taxa
in the KrakenUniq reference database.

*.unclassified.{fastq,fasta}.gz

classified_assignment (file)

KrakenUniq output file indicating the taxonomic assignment of
each input read ## DOUBLE CHECK!!

*.krakenuniq.classified.txt

report (file)

KrakenUniq report containing statistics about classified
and unclassified reads.

*.krakenuniq.report.txt

versions (file)

File containing software versions

versions.yml

Tools

krakenuniq
MIT

Metagenomics classifier with unique k-mer counting for more specific results