Literature DB >> 30657869

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

Michael Banf1,2, Kangmei Zhao1, Seung Y Rhee1.   

Abstract

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 https://github.com/mbanf/METACLUSTER. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2019        PMID: 30657869      PMCID: PMC6735823          DOI: 10.1093/bioinformatics/btz021

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


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