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AraPath: a knowledgebase for pathway analysis in Arabidopsis.
Lai, Liming; Liberzon, Arthur; Hennessey, Jason; Jiang, Gaixin; Qi, Jianli; Mesirov, Jill P; Ge, Steven X.
Afiliación
  • Lai L; Department of Mathematics and Statistics, South Dakota State University, Brookings, SD 57007, USA.
Bioinformatics ; 28(17): 2291-2, 2012 Sep 01.
Article en En | MEDLINE | ID: mdl-22760305
UNLABELLED: Studying plants using high-throughput genomics technologies is becoming routine, but interpretation of genome-wide expression data in terms of biological pathways remains a challenge, partly due to the lack of pathway databases. To create a knowledgebase for plant pathway analysis, we collected 1683 lists of differentially expressed genes from 397 gene-expression studies, which constitute a molecular signature database of various genetic and environmental perturbations of Arabidopsis. In addition, we extracted 1909 gene sets from various sources such as Gene Ontology, KEGG, AraCyc, Plant Ontology, predicted target genes of microRNAs and transcription factors, and computational gene clusters defined by meta-analysis. With this knowledgebase, we applied Gene Set Enrichment Analysis to an expression profile of cold acclimation and identified expected functional categories and pathways. Our results suggest that the AraPath database can be used to generate specific, testable hypotheses regarding plant molecular pathways from gene expression data. AVAILABILITY: http://bioinformatics.sdstate.edu/arapath/.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Arabidopsis / Bases de Datos Genéticas / Bases del Conocimiento Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2012 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Arabidopsis / Bases de Datos Genéticas / Bases del Conocimiento Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2012 Tipo del documento: Article País de afiliación: Estados Unidos
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