MOSHPIT: accessible, reproducible metagenome data science on the QIIME 2 framework
MOSHPIT: accessible, reproducible metagenome data science on the QIIME 2 framework
About this item
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Author / Creator
Ziemski, Michal , Gehret, Liz , Simard, Anthony , Dau, Santiago Castro , Risch, Vinzent , Grabocka, Doriela , Matzoros, Christos , Wood, Colin , Cabrera, Paula Momo , Hernández-Velázquez, Rodrigo , Herman, Chloe , Evans, Keegan , Robeson, 2nd, Michael S , Bolyen, Evan , Caporaso, J Gregory and Bokulich, Nicholas A
Publisher
United States: Cold Spring Harbor Laboratory Press
Journal title
Language
English
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Publication information
Publisher
United States: Cold Spring Harbor Laboratory Press
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Scope and Contents
Contents
Metagenome sequencing has revolutionized functional microbiome analysis across diverse ecosystems, but is fraught with technical hurdles. We introduce MOSHPIT (https://moshpit.readthedocs.io), software built on the QIIME 2 framework (Q2F) that integrates best-in-class CAMI2-validated meta...
Alternative Titles
Full title
MOSHPIT: accessible, reproducible metagenome data science on the QIIME 2 framework
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11838374
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11838374
Other Identifiers
ISSN
2692-8205
E-ISSN
2692-8205
DOI
10.1101/2025.01.27.635007
