Co-expression networks for plant biology: why and how

Co-expression network analysis is one of the most powerful approaches for interpretation of large transcriptomic datasets. It enables characterization of modules of co-expressed genes that may share biological functional linkages. Such networks provide an initial way to explore functional associatio...

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Bibliographic Details
Published inActa biochimica et biophysica Sinica Vol. 51; no. 10; pp. 981 - 988
Main Authors Rao, Xiaolan, Dixon, Richard A
Format Journal Article
LanguageEnglish
Published China China Science Publishing & Media Ltd 06.09.2019
Subjects
Data Mining - methods
Gene Expression Profiling - methods
Gene Expression Regulation, Plant
Gene Regulatory Networks
Genomics - methods
Plant Proteins - genetics
Plants - genetics
Transcriptome
co-expression
transcriptomics
gene network
data mining
co-expression network
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Summary:Co-expression network analysis is one of the most powerful approaches for interpretation of large transcriptomic datasets. It enables characterization of modules of co-expressed genes that may share biological functional linkages. Such networks provide an initial way to explore functional associations from gene expression profiling and can be applied to various aspects of plant biology. This review presents the applications of co-expression network analysis in plant biology and addresses optimized strategies from the recent literature for performing co-expression analysis on plant biological systems. Additionally, we describe the combined interpretation of co-expression analysis with other genomic data to enhance the generation of biologically relevant information.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ObjectType-Review-1
USDOE Office of Science (SC), Biological and Environmental Research (BER)
ISSN:1672-9145
1745-7270
DOI:10.1093/abbs/gmz080