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

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-...

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Veröffentlicht in:Bioinformatics (Oxford, England) England), 2019-09, Vol.35 (17), p.3178-3180
Hauptverfasser: Banf, Michael, Zhao, Kangmei, Rhee, Seung Y
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Sprache:eng
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Zusammenfassung: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. METACLUSTER is freely available at https://github.com/mbanf/METACLUSTER. Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btz021