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Title: Co-expression networks for plant biology: why and how

Abstract

Abstract 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.

Authors:
 [1];  [1]
  1. BioDiscovery Institute and Department of Biological Sciences, University of North Texas, Denton, TX 76203, USA
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1560912
Resource Type:
Published Article
Journal Name:
Acta Biochimica et Biophysica Sinica
Additional Journal Information:
Journal Name: Acta Biochimica et Biophysica Sinica Journal Volume: 51 Journal Issue: 10; Journal ID: ISSN 1745-7270
Publisher:
Oxford University Press
Country of Publication:
Country unknown/Code not available
Language:
English

Citation Formats

Rao, Xiaolan, and Dixon, Richard A. Co-expression networks for plant biology: why and how. Country unknown/Code not available: N. p., 2019. Web. https://doi.org/10.1093/abbs/gmz080.
Rao, Xiaolan, & Dixon, Richard A. Co-expression networks for plant biology: why and how. Country unknown/Code not available. https://doi.org/10.1093/abbs/gmz080
Rao, Xiaolan, and Dixon, Richard A. Thu . "Co-expression networks for plant biology: why and how". Country unknown/Code not available. https://doi.org/10.1093/abbs/gmz080.
@article{osti_1560912,
title = {Co-expression networks for plant biology: why and how},
author = {Rao, Xiaolan and Dixon, Richard A.},
abstractNote = {Abstract 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.},
doi = {10.1093/abbs/gmz080},
journal = {Acta Biochimica et Biophysica Sinica},
number = 10,
volume = 51,
place = {Country unknown/Code not available},
year = {2019},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1093/abbs/gmz080

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Cited by: 2 works
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