ArticlePlant molecular biology2005
From single genes to co-expression networks: extracting knowledge from barley functional genomics.
Article in Plant molecular biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Transcriptome, miRNA, and degradome sequencing reveal the leaf stripe (Pyrenophora graminea) resistance genes in Tibetan hulless barley.BMC plant biology · 2025Article
- Understanding the molecular regulation of flavonoid 3'-hydroxylase in anthocyanin synthesis: insights from purple qingke.BMC genomics · 2024Article
- Inference of Longevity-Related Genes from a Robust Coexpression Network of Seed Maturation Identifies Regulators Linking Seed Storability to Biotic Defense-Related Pathways.The Plant cell · 2015Article
- Article
- A systems-genetics approach and data mining tool to assist in the discovery of genes underlying complex traits in Oryza sativa.PloS one · 2013Article
- Massive-scale gene co-expression network construction and robustness testing using random matrix theory.PloS one · 2013Article
- Co-expression and co-responses: within and beyond transcription.Frontiers in plant science · 2012Article
- Identification of gene modules associated with drought response in rice by network-based analysis.PloS one · 2012Article
- Gene coexpression network alignment and conservation of gene modules between two grass species: maize and rice.Plant physiology · 2011Article
- The association of multiple interacting genes with specific phenotypes in rice using gene coexpression networks.Plant physiology · 2010Article
- ORTom: a multi-species approach based on conserved co-expression to identify putative functional relationships among genes in tomato.Plant molecular biology · 2010Article
- A combined strategy of "in silico" transcriptome analysis and web search engine optimization allows an agile identification of reference genes suitable for normalization in gene expression studies.Plant molecular biology · 2007Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The paper reports an 'in silico' approach to gene expression analysis based on a barley gene co-expression network resulting from the study of several publicly available cDNA libraries. The work is an application of Systems Biology to plant science: at the end of the computational step we identified groups of potentially related genes. The communities of co-expressed genes constructed from the network are remarkably characterized from the functional point of view, as shown by the statistical analysis of the Gene Ontology annotations of their members. Experimental, lab-based testing has been carried out to check the relationship between network and biological properties and to identify and suggest effective strategies of information extraction from the network-derived data.
Indexed as
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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.