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

被引：14

作者：

Banf, Michael ^{[1
,2
]}

Zhao, Kangmei ^{[1
]}

Rhee, Seung Y. ^{[1
]}

机构：

[1] Carnegie Inst Sci, Dept Plant Biol, Stanford, CA 93405 USA

[2] EducatedGuess Ai, Siegen, Germany

来源：

BIOINFORMATICS | 2019年 / 35卷 / 17期

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

DIVERSIFICATION; IDENTIFICATION; COEXPRESSION;

D O I：

10.1093/bioinformatics/btz021

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The 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.

引用

页码：3178 / 3180

页数：3

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