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◆ Cell genomics2026-09-24

MOSHPIT: Accessible, reproducible metagenome data science on the QIIME 2 framework.

Michal Ziemski, Liz Gehret, Anthony Simard, Santiago Castro Dau, Vinzent Risch, Doriela Grabocka, Christos Matzoros, Colin Wood, Paula Momo Cabrera, Rodrigo Hernández-Velázquez, Milo R Schärer, Felicia Sandberg, Chloe Herman, Keegan Evans, Michael S Robeson, Evan Bolyen, J Gregory Caporaso, Nicholas A Bokulich

原始摘要(英文原文)· Original abstract
Metagenome sequencing has revolutionized functional microbiome analysis across diverse ecosystems but is fraught with technical hurdles. We introduce MOSHPIT (MOdular SHotgun metagenome Pipelines with Integrated provenance Tracking; https://moshpit.qiime2.org)-software built on the QIIME 2/rachis framework (Q2F) that integrates best-in-class CAMI II- and LEMMI-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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MOSHPIT: Accessible, reproducible metagenome data science on the QIIME 2 framework. — 科研速览 Science Skim