FatiGO:: a web tool for finding significant associations of Gene Ontology terms with groups of genes

被引：844

作者：

Al-Shahrour, F ^{[1
]}

Díaz-Uriarte, R ^{[1
]}

Dopazo, J ^{[1
]}

机构：

[1] Ctr Nacl Invest Oncol, Bioinformat Unit, Madrid 28029, Spain

来源：

BIOINFORMATICS | 2004年 / 20卷 / 04期

关键词：

D O I：

10.1093/bioinformatics/btg455

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Summary: We present a simple but powerful procedure to extract Gene Ontology (GO) terms that are significantly over- or under-represented in sets of genes within the context of a genome-scale experiment (DNA microarray, proteomics, etc.). Said procedure has been implemented as a web application, FatiGO, allowing for easy and interactive querying. FatiGO, which takes the multiple-testing nature of statistical contrast into account, currently includes GO associations for diverse organisms (human, mouse, fly, worm and yeast) and the TrEMBL/Swissprot GOAnnotations@EBI correspondences from the European Bioinformatics Institute.

引用

页码：578 / 580

页数：3

共 17 条

[1]

[Anonymous], 1993, Resampling-based multiple testing: Examples and methods for P-value adjustment

[2] Gene Ontology: tool for the unification of biology [J].

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 .

NATURE GENETICS, 2000, 25 (01) :25-29

[3]

Benjamini Y, 2001, ANN STAT, V29, P1165

[4] CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].

BENJAMINI, Y ;

HOCHBERG, Y .

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300

[5]

Blaschke Christian, 2002, Brief Bioinform, V3, P154, DOI 10.1093/bib/3.2.154

[6] MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data [J].

Doniger, SW ;

Salomonis, N ;

Dahlquist, KD ;

Vranizan, K ;

Lawlor, SC ;

Conklin, BR .

GENOME BIOLOGY, 2003, 4 (01)

[7]

DUDOIT S, 2002, 110 UC BERK DIV BIOS

[8] GEPAS:: a web-based resource for microarray gene expression data analysis [J].

Herrero, J ;

Al-Shahrour, F ;

Díaz-Uriarte, R ;

Mateos, A ;

Vaquerizas, JM ;

Santoyo, J ;

Dopazo, J .

NUCLEIC ACIDS RESEARCH, 2003, 31 (13) :3461-3467

[9] A literature network of human genes for high-throughput analysis of gene expression [J].

Jenssen, TK ;

Lægreid, A ;

Komorowski, J ;

Hovig, E .

NATURE GENETICS, 2001, 28 (01) :21-+

[10] Profiling gene expression using onto-express [J].

Khatri, P ;

Draghici, S ;

Ostermeier, GC ;

Krawetz, SA .

GENOMICS, 2002, 79 (02) :266-270

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