METACLUSTER-an R package for context-specific expression analysis of metabolic gene clusters

Bioinformatics. 2019 Sep 1;35(17):3178-3180. doi: 10.1093/bioinformatics/btz021.


Summary: Plants and microbes produce numerous compounds to cope with their environments but the biosynthetic pathways for most of these compounds have yet to be elucidated. Some biosynthetic pathways are encoded by enzymes collocated in the chromosome. To facilitate a more comprehensive condition and tissue-specific expression analysis of metabolic gene clusters, we developed METACLUSTER, a probabilistic framework for characterizing metabolic gene clusters using context-specific gene expression information.

Availability and implementation: METACLUSTER is freely available at

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Biosynthetic Pathways
  • Gene Expression
  • Multigene Family*
  • Software*