Abstract
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.
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CITATION STYLE
Banf, M., Zhao, K., & Rhee, S. Y. (2019). METACLUSTER-an R package for context-specific expression analysis of metabolic gene clusters. Bioinformatics, 35(17), 3178–3180. https://doi.org/10.1093/bioinformatics/btz021
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