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MOSHPIT: Decoding functions of microbial communities using reproducible shotgun metagenomics with provenance tracking in QIIME 2

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posted on 2024-03-13, 14:32 authored by Michal ZiemskiMichal Ziemski, Evan Bolyen, Elizabeth Gehret, Colin V. Wood, Anthony Simard, Santiago Castro Dau, Vinzent Risch, Keegan Evans, J. Gregory Caporaso, Nicholas Bokulich

Shotgun metagenome sequencing is an untargeted high-throughput DNA sequencing approach that enables detection and characterization of all microbial genomes present in a given sample. It can be used to recover whole genome sequences of both known and unknown microbial species. Additionally, it allows taxonomic profiling of microbial communities, as well as determination of their functional potential. The multitude of analysis tools, the absence of standardized workflows and lacking systematic provenance tracking complicate the analysis process, particularly for newcomers to metagenomics. Here, we present MOSHPIT (Modular Shotgun metagenome Pipelines with Integrated provenance Tracking), a suite of QIIME 2 plugins designed to streamline every stage of shotgun metagenomic analysis and guarantee exceptional traceability and reproducibility of the workflows and accommodating researchers at different expertise levels.

Funding

This work was funded in part by NIH National Cancer Institute Informatics Technology for Cancer Research Award 1U24CA248454-01 to JGC.

This work was funded in part by the Chan-Zuckerberg Initiative's Essential Open Source Software for Science grant 2022-309890 to NAB and JGC.

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