Analysis code for "An integrative chemical and genomic similarity approach linking fungal secondary
Abstract
Based on antiSMASH results, we ran in-house bash and python scripts to collect antiSMASH results (run_prosmash.sh, prosmash.py).To identifying the same antiSMASH predicted BGCs across the 16 genomes, we compared the BGC regions by gene content using antiSMASH7_BGC_clustering.R.For the manual BGC validations, we compiled a markdown detailing all results and decisions (Supplement_BGCs.Rmd)We clustered compounds using rdkit as documented in compound_clustering_A_fischeri.ipnb
Fields of Study & Subjects
Microbial Natural Products and Biosynthesis
Microbial Metabolism and Applications
Computational Drug Discovery Methods
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset