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NETGE-PLUS: Standard and Network-Based Gene Enrichment Analysis in Human and Model Organisms.
Bovo, Samuele; Martelli, Pier Luigi; Di Lena, Pietro; Casadio, Rita.
Afiliação
  • Bovo S; Biocomputing Group, Department of Pharmacy and Biotechnology (FABIT), University of Bologna, Via San Giacomo 9/2, 40126 Bologna, Italy.
  • Martelli PL; Department of Agricultural and Food Sciences (DISTAL), Division of Animal Sciences, University of Bologna, Viale Fanin 46, 40127 Bologna, Italy.
  • Di Lena P; Biocomputing Group, Department of Pharmacy and Biotechnology (FABIT), University of Bologna, Via San Giacomo 9/2, 40126 Bologna, Italy.
  • Casadio R; Department of Computer Science and Engineering (DISI), University of Bologna, Mura Anteo Zamboni 7, 40126 Bologna, Italy.
J Proteome Res ; 19(7): 2873-2878, 2020 07 02.
Article em En | MEDLINE | ID: mdl-31971806
ABSTRACT
Omics techniques provide a spectrum of information at the genomic level, whose analysis can characterize complex traits at a molecular level. The relationship among genotype and phenotype implies that from genome information the molecular pathways and biological processes underlying a given phenotype are discovered. In dealing with this problem, gene enrichment analysis has become the most widely adopted strategy. Here we present NETGE-PLUS, a Web server for standard and network-based functional interpretation of gene sets of human and of model organisms, including Sus scrofa, Saccharomyces cerevisiae, Escherichia coli, and Arabidopsis thaliana. NETGE-PLUS enables the functional enrichment of both simple and ranked lists of genes, introducing also the possibility of exploring relationships among KEGG pathways. A Web interface makes data retrieval complete and user-friendly. NETGE-PLUS is publicly available at http//net-ge2.biocomp.unibo.it.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Arabidopsis Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Arabidopsis Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article