subMG automates data submission for metagenomics studies

Abstract Background Publicly available metagenomics datasets are crucial for ensuring the reproducibility of scientific findings and supporting contemporary large-scale studies. However, submitting a comprehensive metagenomics dataset is both cumbersome and time-consuming. It requires including samp...

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Bibliographic Details
Main Authors: Tom Tubbesing, Andreas Schlüter, Alexander Sczyrba
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BioData Mining
Subjects:
Online Access:https://doi.org/10.1186/s13040-025-00453-w
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