EviNet: a web platform for network enrichment analysis with flexible definition of gene sets
| Autor: | Iurii Petrov, José M. Dias, Zhanna Alekseenko, Ashwini Jeggari, Johan Ericson, Andrey Alexeyenko |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Internet Information retrieval Interface (Java) Gene sets Cell Differentiation Biology Ontology (information science) Statistical power Term (time) 03 medical and health sciences Upload Mice 030104 developmental biology 0302 clinical medicine Genes Web Server Issue Genetics Animals Web resource Differential expression Transcriptome 030217 neurology & neurosurgery Embryonic Stem Cells Software |
| Zdroj: | Nucleic Acids Research |
| ISSN: | 1362-4962 0305-1048 |
| Popis: | The new web resource EviNet provides an easily run interface to network enrichment analysis for exploration of novel, experimentally defined gene sets. The major advantages of this analysis are (i) applicability to any genes found in the global network rather than only to those with pathway/ontology term annotations, (ii) ability to connect genes via different molecular mechanisms rather than within one high-throughput platform, and (iii) statistical power sufficient to detect enrichment of very small sets, down to individual genes. The users’ gene sets are either defined prior to upload or derived interactively from an uploaded file by differential expression criteria. The pathways and networks used in the analysis can be chosen from the collection menu. The calculation is typically done within seconds or minutes and the stable URL is provided immediately. The results are presented in both visual (network graphs) and tabular formats using jQuery libraries. Uploaded data and analysis results are kept in separated project directories not accessible by other users. EviNet is available at https://www.evinet.org/. |
| Databáze: | OpenAIRE |
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