Pre-computed MGCs from human microbiome reference genomes

Authors: Pascal Andreu, Victòria; Augustijn, Hannah E.; Chen, Lianmin; Zhernakova, Alexandra; Fu, Jingyuan; Fischbach, Michael A.; Dodd, Dylan; +1 Authors

doi: 10.5281/zenodo.7252624 , 10.5281/zenodo.7252625

Pre-computed MGCs from human microbiome reference genomes

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Abstract

This dataset contains non-redundant metabolic gene clusters (MGCs) collected by running gutSMASH and BiG-MAP on a collection of unique high-quality reference genomes. This collection consist of MGCs predicted by gutSMASH using 1,520 genomes from the Culturable Genome Reference (CGR), 2,308 genomes from the Human Microbiome Project (HMP) and 414 Clostridia genomes as input and then filtered for redundancy using the family module of BiG-MAP. For more information: https://doi.org/10.1101/2021.02.25.432841 BiG-MAP_mg.pickle -> suitable for metagenome analyses BiG-MAP_mt.pickle -> suitable for metatranscriptome analyses The files can be used as direct input in the third module of BiG-MAP (BiG-MAP.map.py: https://github.com/medema-group/BiG-MAP).

This dataset contains non-redundant metabolic gene clusters (MGCs) collected by running gutSMASH and BiG-MAP on a collection of unique high-quality reference genomes. This collection consist of MGCs predicted by gutSMASH using 1,520 genomes from the Culturable Genome Reference (CGR), 2,308 genomes from the Human Microbiome Project (HMP) and 414 Clostridia genomes as input and then filtered for redundancy using the family module of BiG-MAP. For more information: https://doi.org/10.1101/2021.02.25.432841 BiG-MAP_mg.pickle; suitable for metagenome analyses BiG-MAP_mt.pickle; suitable for metatranscriptome analyses The files can be used as direct input in the third module of BiG-MAP (BiG-MAP.map.py: https://github.com/medema-group/BiG-MAP).

Related Organizations

University of Groningen
Netherlands
Stanford University
United States
Wageningen University & Research
Netherlands
University Medical Center Groningen
Netherlands

Keywords

Life Science

3 Research products, page 1 of 1

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