Gene Co-Expression Network Tools and Databases for Crop Improvement.
bioinformatics tool
crop
database
gene co-expression network
transcriptomics
Journal
Plants (Basel, Switzerland)
ISSN: 2223-7747
Titre abrégé: Plants (Basel)
Pays: Switzerland
ID NLM: 101596181
Informations de publication
Date de publication:
21 Jun 2022
21 Jun 2022
Historique:
received:
26
04
2022
revised:
05
06
2022
accepted:
05
06
2022
entrez:
9
7
2022
pubmed:
10
7
2022
medline:
10
7
2022
Statut:
epublish
Résumé
Transcriptomics has significantly grown as a functional genomics tool for understanding the expression of biological systems. The generated transcriptomics data can be utilised to produce a gene co-expression network that is one of the essential downstream omics data analyses. To date, several gene co-expression network databases that store correlation values, expression profiles, gene names and gene descriptions have been developed. Although these resources remain scattered across the Internet, such databases complement each other and support efficient growth in the functional genomics area. This review presents the features and the most recent gene co-expression network databases in crops and summarises the present status of the tools that are widely used for constructing the gene co-expression network. The highlights of gene co-expression network databases and the tools presented here will pave the way for a robust interpretation of biologically relevant information. With this effort, the researcher would be able to explore and utilise gene co-expression network databases for crops improvement.
Identifiants
pubmed: 35807577
pii: plants11131625
doi: 10.3390/plants11131625
pmc: PMC9269215
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : Malaysian Agricultural Research and Development Institute
ID : PRB502
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