ReviewPlants (Basel, Switzerland)2022
Gene Co-Expression Network Tools and Databases for Crop Improvement.
Review in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Constructing gene co-functional and co-regulatory networks from public transcriptomes using condition-specific ensemble co-expression.Nature communications · 2026Article
- Pangenome-wide identification and analysis of the heat shock transcription factor gene family in tea plant (Frontiers in plant science · 2026Article
- Evolutionary and pan-genomic analysis of theFrontiers in plant science · 2026Article
- Accelerating crop improvement via integration of transcriptome-based network biology and genome editing.Planta · 2025Review
- Deciphering early responsive signature genes in rice blast disease: an integrated temporal transcriptomic study.Journal of applied genetics · 2024Article
- Identification and functional characterization of bidirectional gene pairs and their intergenic regions in cotton.BMC plant biology · 2024Article
- A Novel Role ofInternational journal of molecular sciences · 2023Article
- Transcriptomic Insight into the Pollen Tube Growth ofPlants (Basel, Switzerland) · 2023Article
- Co-Expression Networks in Sunflower: Harnessing the Power of Multi-Study Transcriptomic Public Data to Identify and Categorize Candidate Genes for Fungal Resistance.Plants (Basel, Switzerland) · 2023Article
- Meta-analysis of fungal plant pathogenFrontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.