Strategies for community-sourced biocuration in bioinformatics: a case study on MIBiG 4.0.
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ABSTRACT: Biocuration is essential to transform molecular sequence data into standardized, machine-readable resources. Such curated datasets enable comparative analysis, predictive modeling, and data integration across bioinformatics platforms. While professional biocuration is resource-intensive and usually limited to institutional settings, community-driven approaches can mobilize large-scale annotation of specialized datasets and are more resilient to disruptions in scientific funding. Here, we present a model for community-powered curation applied to the Minimum Information about a Biosynthetic Gene Cluster (MIBiG) repository. Through a framework of workflows for metadata capture, annotation validation, and contributor coordination, the MIBiG 4.0 initiative recruited 267 scientists across 178 in
SUBMITTER: Blin K
PROVIDER: S-EPMC12696713 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature
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