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.

Bovo S., Martelli P.L., Di Lena P., Casadio R. (2020). NETGE-PLUS: Standard and Network-Based Gene Enrichment Analysis in Human and Model Organisms. JOURNAL OF PROTEOME RESEARCH, 19(7), 2873-2878 [10.1021/acs.jproteome.9b00749].

NETGE-PLUS: Standard and Network-Based Gene Enrichment Analysis in Human and Model Organisms

Bovo S.
Primo
;
Martelli P. L.
;
Di Lena P.;Casadio R.
Ultimo
2020

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.
2020
Bovo S., Martelli P.L., Di Lena P., Casadio R. (2020). NETGE-PLUS: Standard and Network-Based Gene Enrichment Analysis in Human and Model Organisms. JOURNAL OF PROTEOME RESEARCH, 19(7), 2873-2878 [10.1021/acs.jproteome.9b00749].
Bovo S.; Martelli P.L.; Di Lena P.; Casadio R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/789475
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