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. 2024 Aug 20;13(9):2684–2692. doi: 10.1021/acssynbio.4c00391

Table 2. Software Tools for Genome Mining and Analysis and Repositories of Annotated BGCs.

name type of tool organisms searched notes ref
antiSMASH genome mining bacteria, fungus, archaea, plant flagship genome mining tool for NPs; different flavors depending on the organism/biome of choice (27)
PRISM 4 genome mining bacteria emphasis on predicting chemical structures of predicted BGC products (31)
EvoMining genome mining bacteria focus on overlooked enzyme classes through an evolutionary lens (32)
GECCO genome mining bacteria uses a specific subset of ML, conditional random field, which makes it more interpretable than neural network “black box” tools (29)
SanntiS genome mining bacteria uses an artificial neural network and aims to better identify less-characterized BGCs (30)
BiG-SLiCE phylogenetic analysis bacteria, archaea generates gene cluster families from BGCs (33)
CORASON phylogenetic analysis bacteria shows evolutionary relationships between BGCs within a gene cluster family using a multilocus phylogeny (34)
MIBiG repository bacteria, archaea, fungi, plants frequently updated and validated by subject matter experts (35)
antiSMASH-DB repository bacteria, archaea, fungi not as well curated as MIBiG; depends on the quality of the antiSMASH analysis of a genome (36)