BiG-FAM: the biosynthetic gene cluster families database.

Abstract:

:Computational analysis of biosynthetic gene clusters (BGCs) has revolutionized natural product discovery by enabling the rapid investigation of secondary metabolic potential within microbial genome sequences. Grouping homologous BGCs into Gene Cluster Families (GCFs) facilitates mapping their architectural and taxonomic diversity and provides insights into the novelty of putative BGCs, through dereplication with BGCs of known function. While multiple databases exist for exploring BGCs from publicly available data, no public resources exist that focus on GCF relationships. Here, we present BiG-FAM, a database of 29,955 GCFs capturing the global diversity of 1,225,071 BGCs predicted from 209,206 publicly available microbial genomes and metagenome-assembled genomes (MAGs). The database offers rich functionalities, such as multi-criterion GCF searches, direct links to BGC databases such as antiSMASH-DB, and rapid GCF annotation of user-supplied BGCs from antiSMASH results. BiG-FAM can be accessed online at https://bigfam.bioinformatics.nl.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Kautsar SA,Blin K,Shaw S,Weber T,Medema MH

doi

10.1093/nar/gkaa812

subject

Has Abstract

pub_date

2021-01-08 00:00:00

pages

D490-D497

issue

D1

eissn

0305-1048

issn

1362-4962

pii

5917658

journal_volume

49

pub_type

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