MOSHPIT: accessible, reproducible metagenome data science on the QIIME 2 framework
Ziemski, M.; Gehret, L.; Simard, A.; Castro Dau, S.; Risch, V.; Grabocka, D.; Matzoros, C.; Wood, C.; Momo Cabrera, P.; Hernandez-Velazquez, R.; Herman, C.; Evans, K.; Robeson, M. S.; Bolyen, E.; Caporaso, J. G.; Bokulich, N. A.
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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 metagenome tools with robust provenance tracking and multiple user interfaces, enabling streamlined, reproducible metagenome analysis for all expertise levels. By building on Q2F, MOSHPIT enhances scalability, interoperability, and reproducibility in complex workflows, democratizing and accelerating discovery at the frontiers of metagenomics.
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