Omkar S. Mohite

This study analyzes 1432 transcriptomics datasets from 132 Actinomycetota strains to identify patterns of BGC expression and regulatory mechanisms.

This study presents 121 new Bacillales genomes, identifies 1,176 biosynthetic gene clusters, and provides open-access data to enhance research on secondary metabolite production.

PanKB is a microbial pangenome knowledgebase that integrates pangenomic data and literature to support research and biotechnological applications.

The paper identifies alternate metabolic pathways rerouted during synthetic lethal reaction pairs using a constraint-based optimization approach and applies it to genome-scale models.

The paper reconstructs pangenomes of Lactobacillaceae to generate metabolic models for 26 species, enabling species-specific metabolic trait predictions.

The paper provides over 1,000 high-quality Actinomycetia genomes, revealing genomic structures and biosynthetic gene cluster organization with ecological and biotechnological implications.

BGCFlow is a systematic workflow for analyzing biosynthetic gene clusters across large genomic datasets, demonstrating improved dereplication and comparative analysis of RiPPs in Saccharopolyspora genomes.

The paper analyzes 2,371 Streptomyces genomes to refine biosynthetic gene cluster (BGC) diversity using MASH-clusters and reveals conserved genomic structures suggesting vertical inheritance.

The paper analyzes the alleleome of the Lactobacillaceae family's core pangenome to understand strain diversity and identify phylogroup-specific variants.

This study performs a pangenome analysis of the Lactobacillaceae family, revealing correlations between pangenome openness, transposon abundance, and species-specific genomic features.

The paper analyzes enterobacterial genomes to identify secondary metabolite gene clusters, finding 8604 BGCs across 2627 genomes and associating some with specific biological functions.

The paper analyzes the phylogenetic distribution of biosynthetic gene clusters in the Bacillus subtilis group to understand secondary metabolite production patterns and conservation.