Gene coexpression analysis in Arabidopsis thaliana based on public microarray data

Summary: Coexpressed genes tend to participate in related biological processes. Gene coexpression analysis allows the discovery of functional gene partners or the assignment of biological roles to genes of unknown function. In this protocol, we describe the steps necessary to create a gene coexpress...

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Main Authors: Vasileios L. Zogopoulos, Apostolos Malatras, Ioannis Michalopoulos
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166722000880
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author Vasileios L. Zogopoulos
Apostolos Malatras
Ioannis Michalopoulos
author_facet Vasileios L. Zogopoulos
Apostolos Malatras
Ioannis Michalopoulos
author_sort Vasileios L. Zogopoulos
collection DOAJ
description Summary: Coexpressed genes tend to participate in related biological processes. Gene coexpression analysis allows the discovery of functional gene partners or the assignment of biological roles to genes of unknown function. In this protocol, we describe the steps necessary to create a gene coexpression tree for Arabidopsis thaliana, using publicly available Affymetrix CEL microarray data. Because the computational analysis described here is highly dependent on sample quality, we detail an automatic quality control approach.For complete details on the use and execution of this protocol, please refer to Zogopoulos et al. (2021).
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spelling doaj.art-ea80570600f74b9fb9934ce37d84b1ab2022-12-21T21:10:36ZengElsevierSTAR Protocols2666-16672022-03-0131101208Gene coexpression analysis in Arabidopsis thaliana based on public microarray dataVasileios L. Zogopoulos0Apostolos Malatras1Ioannis Michalopoulos2Centre of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greecebiobank.cy Center of Excellence in Biobanking and Biomedical Research, University of Cyprus, 2029 Nicosia, CyprusCentre of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece; Corresponding authorSummary: Coexpressed genes tend to participate in related biological processes. Gene coexpression analysis allows the discovery of functional gene partners or the assignment of biological roles to genes of unknown function. In this protocol, we describe the steps necessary to create a gene coexpression tree for Arabidopsis thaliana, using publicly available Affymetrix CEL microarray data. Because the computational analysis described here is highly dependent on sample quality, we detail an automatic quality control approach.For complete details on the use and execution of this protocol, please refer to Zogopoulos et al. (2021).http://www.sciencedirect.com/science/article/pii/S2666166722000880BioinformaticsGenomicsModel OrganismsPlant sciencesSystems biology
spellingShingle Vasileios L. Zogopoulos
Apostolos Malatras
Ioannis Michalopoulos
Gene coexpression analysis in Arabidopsis thaliana based on public microarray data
STAR Protocols
Bioinformatics
Genomics
Model Organisms
Plant sciences
Systems biology
title Gene coexpression analysis in Arabidopsis thaliana based on public microarray data
title_full Gene coexpression analysis in Arabidopsis thaliana based on public microarray data
title_fullStr Gene coexpression analysis in Arabidopsis thaliana based on public microarray data
title_full_unstemmed Gene coexpression analysis in Arabidopsis thaliana based on public microarray data
title_short Gene coexpression analysis in Arabidopsis thaliana based on public microarray data
title_sort gene coexpression analysis in arabidopsis thaliana based on public microarray data
topic Bioinformatics
Genomics
Model Organisms
Plant sciences
Systems biology
url http://www.sciencedirect.com/science/article/pii/S2666166722000880
work_keys_str_mv AT vasileioslzogopoulos genecoexpressionanalysisinarabidopsisthalianabasedonpublicmicroarraydata
AT apostolosmalatras genecoexpressionanalysisinarabidopsisthalianabasedonpublicmicroarraydata
AT ioannismichalopoulos genecoexpressionanalysisinarabidopsisthalianabasedonpublicmicroarraydata