grunwaldlab / grunwaldlab/metacoder
Best practice to parse data from QIIME
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Description
Hi @zachary-foster!
Thanks so much for your package!
I'm trying to parse the taxonomic information output from QIIME, and I am wondering the best way to do this. With command line tools I have a file that looks like this with thousands of lines:
k__Archaea; p__Crenarchaeota; c__Thermoprotei; o__YNPFFA; f__SK322; g__; s__
k__Bacteria; p__Acidobacteria; c__DA052; o__Ellin6513; f__; g__; s__
k__Bacteria; p__Acidobacteria; c__DA052; o__Ellin6513; f__; g__; s__
k__Bacteria; p__Actinobacteria; c__Thermoleophilia; o__Gaiellales; f__Gaiellaceae; g__; s__
k__Bacteria; p__Bacteroidetes; c__Bacteroidia; o__Bacteroidales; f__; g__; s__
k__Bacteria; p__Chlamydiae; c__Chlamydiia; o__Chlamydiales; f__; g__; s__
k__Bacteria; p__Verrucomicrobia; c__Pedosphaerae; o__Pedosphaerales; f__Ellin515; g__; s__
k__Archaea; p__Crenarchaeota; c__MBGA; o__; f__; g__; s__
k__Archaea; p__Crenarchaeota; c__MBGA; o__NRP-J; f__; g__; s__
Duplicate lines with identical taxonomy are OTUs clustering at 97% with similar taxonomic resolution.
I've been banging my head with ways to parse this with metacoder. Can you provide a best practices for this type of file? Thanks!
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Research direction
No file, test, or entry point is named. Start by reviewing metacoder’s existing taxonomy-parsing documentation alongside the QIIME output format, then establish which input is supported and what a complete best-practices guide should cover.
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Assessment
- Tech stack
- r
- Domain
- bioinformatics
- Issue type
- Documentation
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