ArticleNucleic acids research2009
RiceGeneThresher: a web-based application for mining genes underlying QTL in rice genome.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Current status of genomic resources on wild relatives of rice.Breeding science · 2020Article
- Single-feature polymorphism mapping of isogenic rice lines identifies the influence of terpene synthase on brown planthopper feeding preferences.Rice (New York, N.Y.) · 2013Article
- Fine mapping QTL for drought resistance traits in rice (Oryza sativa L.) using bulk segregant analysis.Molecular biotechnology · 2011Article
- Rice TOGO Browser: A platform to retrieve integrated information on rice functional and applied genomics.Plant & cell physiology · 2011Article
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4 authors.
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Abstract
RiceGeneThresher is a public online resource for mining genes underlying genome regions of interest or quantitative trait loci (QTL) in rice genome. It is a compendium of rice genomic resources consisting of genetic markers, genome annotation, expressed sequence tags (ESTs), protein domains, gene ontology, plant stress-responsive genes, metabolic pathways and prediction of protein-protein interactions. RiceGeneThresher system integrates these diverse data sources and provides powerful web-based applications, and flexible tools for delivering customized set of biological data on rice. Its system supports whole-genome gene mining for QTL by querying using DNA marker intervals or genomic loci. RiceGeneThresher provides biologically supported evidences that are essential for targeting groups or networks of genes involved in controlling traits underlying QTL. Users can use it to discover and to assign the most promising candidate genes in preparation for the further gene function validation analysis. The web-based application is freely available at http://rice.kps.ku.ac.th.
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