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

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.

Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2025-01-28
DOI
https://doi.org/10.3929/ethz-b-000721582
Primary Topic
Genomics and Phylogenetic Studies
Type
article
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article

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

Repository for Publications and Research Data (ETH Zurich)
Genomics and Phylogenetic Studies
article

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

article en

Abstract

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.

Repository for Publications and Research Data (ETH Zurich)
Life in Land
Openalex Percentile: Top 62%
Genomics and Phylogenetic Studies
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MOSHPIT: accessible, reproducible metagenome data science on the QIIME 2 framework · Repository for Publications and Research Data (ETH Zurich) (2025) | TGRS Research Map | TGRS