NETGE-PLUS: Standard and Network-Based Gene Enrichment Analysis in Human and Model Organisms.
Samuele BovoPier Luigi MartelliPietro Di LenaRita CasadioPublished in: Journal of proteome research (2020)
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.
Keyphrases
- genome wide
- escherichia coli
- endothelial cells
- copy number
- saccharomyces cerevisiae
- arabidopsis thaliana
- genome wide identification
- dna methylation
- transcription factor
- gene expression
- small molecule
- induced pluripotent stem cells
- big data
- machine learning
- genome wide analysis
- staphylococcus aureus
- pluripotent stem cells
- pseudomonas aeruginosa