BiG-SLiCE: A highly scalable tool maps the diversity of 1.2 million biosynthetic gene clusters.

ABSTRACT:

Background

Genome mining for biosynthetic gene clusters (BGCs) has become an integral part of natural product discovery. The >200,000 microbial genomes now publicly available hold information on abundant novel chemistry. One way to navigate this vast genomic diversity is through comparative analysis of homologous BGCs, which allows identification of cross-species patterns that can be matched to the presence of metabolites or biological activities. However, current tools are hindered by a bottleneck caused by the expensive network-based approach used to group these BGCs into gene cluster families (GCFs).

Results

Here, we introduce BiG-SLiCE, a tool designed to cluster massive numbers of BGCs. By representing them in Euclidean space, BiG-SLiCE can group BGCs into GCFs in a non

SUBMITTER: Kautsar SA 

PROVIDER: S-EPMC7804863 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature