GoMiner: a resource for biological interpretation of genomic and proteomic data

被引：918

作者：

Zeeberg, BR

Feng, WM

Wang, G

Wang, MD

Fojo, AT

Sunshine, M

Narasimhan, S

Kane, DW

Reinhold, WC

Lababidi, S

Bussey, KJ

Riss, J

Barrett, JC

Weinstein, JN ^{[1
]}

机构：

[1] NCI, Genom & Bioinformat Grp, Mol Pharmacol Lab, NIH, Bethesda, MD 20892 USA

[2] Georgia Inst Technol, Wallace H Coulter Biomed Engn Dept, Atlanta, GA 30332 USA

[3] Emory Univ, Atlanta, GA 30332 USA

[4] Georgia Inst Technol, Dept Comp Sci, Atlanta, GA 30332 USA

[5] Georgia Inst Technol, Dept Chem, Atlanta, GA 30332 USA

[6] SRA Int, Fairfax, VA 22033 USA

[7] NCI, Lab Biosyst & Canc, Bethesda, MD 20892 USA

来源：

GENOME BIOLOGY | 2003年 / 4卷 / 04期

关键词：

D O I：

10.1186/gb-2003-4-4-r28

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

We have developed GoMiner, a program package that organizes lists of 'interesting' genes ( for example, under- and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. GoMiner provides quantitative and statistical output files and two useful visualizations. The first is a tree-like structure analogous to that in the AmiGO browser and the second is a compact, dynamically interactive 'directed acyclic graph'. Genes displayed in GoMiner are linked to major public bioinformatics resources.

引用

页数：8

共 11 条

[1]

Agresti A., 1990, Analysis of categorical data

[2]

Agresti A., 1992, STAT SCI, V7, P131, DOI DOI 10.1214/SS/1177011454

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