Metagenomic Identifier of Biosynthetic Gene Clusters (MetaBGC)

MetaBGC is a computational algorithm that discovers small-molecule BGCs directly in complex metagenomic sequencing data of the human microbiome.

To download MetaBGC, please visit our GitHub.

For more information about MetaBGC, please refer to our paper: Sugimoto, Y.*, Camacho, F.R.*, et al. (2019) "A metagenomic strategy for harnessing the chemical repertoire of the human microbiome". Science. 366 (6471): eaax9176.





Expected Number of Detectable Strains (ENDS)

ENDS is a corrected richness metric where the contribution of each ASV is weighed by the probability that its metabolite can be detected while considering total biomass.

For more information on ENDS, please visit our GitHub and refer to our paper: Javdan, B.*, Lopez, J.*, et al. (2020). "Personalized Mapping of Drug Metabolism by the Human Gut Microbiome". Cell7 (1661-1679): e22.