BiG-SCAPE 2.0 and BiG-SLiCE 2.0: scalable, accurate and interactive sequence clustering of metabolic gene clusters

Microbial metabolic gene clusters encode the biosynthesis or catabolism of metabolites that facilitate ecological specialization, mediate microbiome interactions and constitute a major source of medicines and crop protection agents. Here, we present BiG-SCAPE and BiG-SLiCE 2.0, next-generation methods that facilitate scalable, accurate and interactive gene cluster analyses. BiG-SCAPE 2.0 updates its classification, alignment methods, and visualizations, enabling more accurate analysis, up to 8x faster runtimes and halved memory requirements. BiG-SLiCE 2.0 updates its distance metric, pHMM database, and classification logic, resulting in increased sensitivity nearing that of BiG-SCAPE. Analysis of 260,630…

• UD
  U.S. Department of Energy

  Awards: -AC02-05CH11231, 05CH11231, AC02-05CH11231, DE-AC02, DE-AC02-05CH11231, DE-AC02-
• JG
  Joint Genome Institute

  Awards: DE-AC02-05CH11231, AC02-05CH11231
• NO
  Nederlandse Organisatie voor Wetenschappelijk Onderzoek

  Award: OSF.23.1.044
• NN
  Novo Nordisk
• NN
  Novo Nordisk Fonden

  Award: NNF24SA0092560
• OO
  Office of Science

  Awards: AC02-05CH11231, -AC02-05CH11231, DE-AC02