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@@ -228,6 +229,32 @@ It is for an interactive taxonomy report (Krona). You can use any modern web bro
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Metabuli can classify reads against a database of any size as long as the database is fits in the hard disk, regardless of the machine's RAM size.
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We tested it with a MacBook Air (2020, M1, 8 GiB), where we classified about 15 M paired-end 150 bp reads (~5 GiB in size) against a database built with ~23K prokaryotic genomes (~69 GiB in size).
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---
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## Refine Classification file
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After running the 'classify' command, you can refine classification file with some options.
- read-by-read classification : The JobID_classifications.tsv file generated by the `classify` step.
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- DBDIR : The same DBDIR used in the `classify` step.
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* Options
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--threads : The number of threads to utilize (all by default)
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--remove-unclassified : Remove unclassified reads
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--exclude-taxid : Remove list of taxids as well as its children (e.g., 1758,9685,1234)
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--select-taxid : Select list of taxids as well as its children (e.g., 1758,9685,1234)
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--select-columns : Select list of columns with number and handle full lineage as 7 (generated if absent) (e.g., 2,5,7,3)
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--report : Write report of refined classification file
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--rank : Adjust classification to the specified rank
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--rank-file-type : Choose how to handle reads assigned to higher taxonomic ranks when using the --rank option. [0: exclude higher rank, 1: include higher rank, 2: make separate file for higher rank classification]
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