Ontologizing gene-expression microarray data:: characterizing clusters with Gene Ontology

被引:66
作者
Robinson, PN
Wollstein, A
Böhme, U
Beattie, B
机构
[1] Humboldt Univ, Charite Univ Hosp, Inst Med Genet, D-13353 Berlin, Germany
[2] Mem Sloan Kettering Canc Ctr, Dept Neurol, New York, NY 10021 USA
关键词
D O I
10.1093/bioinformatics/bth040
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
An XML-based Java application is described that provides a function-oriented overview of the results of cluster analysis of gene-expression microarray data based on Gene Ontology terms and associations. The application generates one HTML page with listings of the frequencies of explicit and implicit Gene Ontology annotations for each cluster, and separate, linked pages with listings of explicit annotations for each gene in a cluster.
引用
收藏
页码:979 / 981
页数:3
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  • [1] Gene Ontology: tool for the unification of biology
    Ashburner, M
    Ball, CA
    Blake, JA
    Botstein, D
    Butler, H
    Cherry, JM
    Davis, AP
    Dolinski, K
    Dwight, SS
    Eppig, JT
    Harris, MA
    Hill, DP
    Issel-Tarver, L
    Kasarskis, A
    Lewis, S
    Matese, JC
    Richardson, JE
    Ringwald, M
    Rubin, GM
    Sherlock, G
    [J]. NATURE GENETICS, 2000, 25 (01) : 25 - 29
  • [2] Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO)
    Dwight, SS
    Harris, MA
    Dolinski, K
    Ball, CA
    Binkley, G
    Christie, KR
    Fisk, DG
    Issel-Tarver, L
    Schroeder, M
    Sherlock, G
    Sethuraman, A
    Weng, S
    Botstein, D
    Cherry, JM
    [J]. NUCLEIC ACIDS RESEARCH, 2002, 30 (01) : 69 - 72
  • [3] From patterns to pathways: gene expression data analysis comes of age
    Slonim, DK
    [J]. NATURE GENETICS, 2002, 32 (Suppl 4) : 502 - 508