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feat: introduce sample batches for krakenuniq
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2 changed files with 15 additions and 10 deletions
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@ -125,6 +125,7 @@ params {
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krakenuniq_ram_chunk_size = '16G'
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krakenuniq_save_reads = false // added directly to module in profiling.nf
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krakenuniq_save_readclassifications = false // added directly to module in profiling.nf
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krakenuniq_batch_size = 20
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// Bracken
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run_bracken = false
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@ -320,9 +320,13 @@ workflow PROFILING {
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[[id: db_meta.db_name, single_end: meta.single_end], reads, db_meta, db]
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}
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.groupTuple(by: [0,2,3])
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.flatMap { single_meta, reads, db_meta, db ->
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def batches = reads.collate(params.krakenuniq_batch_size)
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return batches.colect { batch -> [ single_meta + db_meta, batch.flatten(), db ]}
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}
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.multiMap {
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single_meta, reads, db_meta, db ->
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reads: [ single_meta + db_meta, reads.flatten() ]
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meta, reads, db ->
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reads: [ meta, reads ]
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db: db
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}
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// Hardcode to _always_ produce the report file (which is our basic output, and goes into)
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