4.8 Article

MIBiG 2.0: a repository for biosynthetic gene clusters of known function

期刊

NUCLEIC ACIDS RESEARCH
卷 48, 期 D1, 页码 D454-D458

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkz882

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资金

  1. Netherlands Organization for Scientific Research (NWO) VENI Grant [863.15.002]
  2. National Science Foundation (NSF) CAREER Award [CHE1652424]
  3. UK Biotechnology and Biological Sciences Research Council (BBSRC) NottinghamRothamsted Doctoral Training Partnership [BB/M008770/1]
  4. Lawes Agricultural Trust
  5. NSF GRF [00039202]
  6. NWO GROW fellowship
  7. Graduate School for Experimental Plant Sciences (EPS)
  8. Novo Nordisk Foundation [NNF10CC1016517, NNF16OC0021746]
  9. Netherlands eScience Center (NLeSC) Accelerating Scientific Discoveries Grant [ASDI.2017.030]
  10. NSERC
  11. National Institutes of Health [U41-AT008718]
  12. Wageningen University
  13. BBSRC [1803295] Funding Source: UKRI

向作者/读者索取更多资源

Fueled by the explosion of (meta)genomic data, genome mining of specialized metabolites has become a major technology for drug discovery and studying microbiome ecology. In these efforts, computational tools like antiSMASH have played a central role through the analysis of Biosynthetic Gene Clusters (BGCs). Thousands of candidate BGCs from microbial genomes have been identified and stored in public databases. Interpreting the function and novelty of these predicted BGCs requires comparison with a well-documented set of BGCs of known function. The MIBiG (Minimum Information about a Biosynthetic Gene Cluster) Data Standard and Repository was established in 2015 to enable curation and storage of known BGCs. Here, we present MIBiG 2.0, which encompasses major updates to the schema, the data, and the online repository itself. Over the past five years, 851 new BGCs have been added. Additionally, we performed extensive manual data curation of all entries to improve the annotation quality of our repository. We also redesigned the data schema to ensure the compliance of future annotations. Finally, we improved the user experience by adding new features such as query searches and a statistics page, and enabled direct link-outs to chemical structure databases.

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