Jump to content

COMPLEAT (Bioinformatics tool)

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Vinayagam (talk | contribs) at 23:24, 21 August 2013 (Created page with '[http://www.flyrnai.org/compleat/ COMPLEAT <ref>{{cite web|url=http://stke.sciencemag.org/cgi/content/abstract/sigtrans;6/264/rs5|publisher=Science Signaling}}</...'). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

COMPLEAT [1]

Protein Complex Enrichment Analysis Tool (COMPLEAT) is an online tool to analyze high-throughput datasets (or small-scale datasets) using protein complex enrichment analysis. The tool uses a protein complex resource as the back end annotation data instead of conventional Gene Ontology- or pathway-based annotations. The tool incorporates several useful features in order to provide a comprehensive data-mining environment, including network-based visualization and interactive querying options.

COMPLEAT is useful to analyze RNAi screens, Proteomic datasets, Gene expression data and any other high-throughput datasets where protein complex information is relevant.

COMPLEAT was successfully applied to identify

1. Dynamic protein complexes regulated by insulin and epidermal growth factors signaling, including a role of Brahma complex in the cellular response to insulin[2].

2. Evolutionarily conserved molecular complexes that regulate nucleolar size when the complex constituents were targeted by RNA interference [3].

References

  1. ^ . Science Signaling http://stke.sciencemag.org/cgi/content/abstract/sigtrans;6/264/rs5. {{cite web}}: Missing or empty |title= (help)
  2. ^ Vinayagam, A (2013 Feb 26). "Protein complex-based analysis framework for high-throughput data sets". Science signaling. 6 (264): rs5. PMID 23443684. {{cite journal}}: Check date values in: |date= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)
  3. ^ Neumüller, R.A. (2013 Aug 20). "Conserved Regulators of Nucleolar Size Revealed by Global Phenotypic Analyses". Science signaling. 6 (289): ra70. {{cite journal}}: Check date values in: |date= (help); Unknown parameter |coauthors= ignored (|author= suggested) (help)