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Bibliographic Details
Main Author: Kim, Kangsan
Format: Recurso digital
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Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.17509141
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  • <p>This project includes (i) a compressed JSON dataset to run <em>B. thetaiotaomicron </em>iModulon (BtModulome) on python (see the <a href="https://pymodulon.readthedocs.io/en/latest/" target="_blank" rel="noopener">pymodulon workflow</a> for details); (ii) an iModulon threshold table that can be used together with supplemental data files provided in the original article* for iModulon analysis.</p> <p>*Original article: Transcriptional regulatory networks of the human gut symbiont Bacteroides thetaiotaomicron are uncovered using machine-learning. (2025). Nucleic Acids Research. DOI:10.1093/nar/gkaf1166.</p>