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  1. GOEAST (View Publication)
    Resource Category : Webserver -> Expression -> Protein Expression

    Brief Description : Gene Ontology Enrichment Analysis (GOEAST) is a toolkit for the identification of over-represented GO terms in a given gene set. Distinguishing features include: capacity to analyze data from various sources and from multiple species, and the capacity to cross compare GO enriched terms across experiments to identify correlations.

    Institute/s :
    State Key Laboratory of Plant Genomics
    Institute of Genetics and Developmental Biology
    Chinese Academy of Sciences and Graduate University of the Chinese Academy of Sciences, Beijing 100101, China

    Address of Institute/s :
    State Key Laboratory of Plant Genomics
    Institute of Genetics and Developmental Biology
    Chinese Academy of Sciences and Graduate University of the Chinese Academy of Sciences, Beijing 100101, China

    Country : China


    Authors/Contributors : Zheng Q, Wang XJ.
    Contact Email : xjwang@genetics.ac.cn
    Year : 2008



  2. GOEAST (View Publication)
    Resource Category : Webserver -> Expression -> Transcript Expression & Microarrays

    Brief Description : Gene Ontology Enrichment Analysis (GOEAST) is a toolkit for the identification of over-represented GO terms in a given gene set. Distinguishing features include: capacity to analyze data from various sources and from multiple species, and the capacity to cross compare GO enriched terms across experiments to identify correlations.

    Institute/s :
    State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences and Graduate University of the Chinese Academy of Sciences, Beijing 100101, China.
    Address of Institute/s :
    State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences and Graduate University of the Chinese Academy of Sciences, Beijing 100101, China.
    Country : China


    Authors/Contributors : Zheng Q, Wang XJ.
    Contact Email : xjwang@genetics.ac.cn
    Year : 2008