Analyzing and interpreting genome data at the network level with ConsensusPathDB.
| Authors | |
| Abstract | ConsensusPathDB consists of a comprehensive collection of human (as well as mouse and yeast) molecular interaction data integrated from 32 different public repositories and a web interface featuring a set of computational methods and visualization tools to explore these data. This protocol describes the use of ConsensusPathDB () with respect to the functional and network-based characterization of biomolecules (genes, proteins and metabolites) that are submitted to the system either as a priority list or together with associated experimental data such as RNA-seq. The tool reports interaction network modules, biochemical pathways and functional information that are significantly enriched by the user's input, applying computational methods for statistical over-representation, enrichment and graph analysis. The results of this protocol can be observed within a few minutes, even with genome-wide data. The resulting network associations can be used to interpret high-throughput data mechanistically, to characterize and prioritize biomarkers, to integrate different omics levels, to design follow-up functional assay experiments and to generate topology for kinetic models at different scales. |
| Year of Publication | 2016
|
| Journal | Nat Protoc
|
| Volume | 11
|
| Issue | 10
|
| Pages | 1889-907
|
| Date Published | 2016 Oct
|
| ISSN | 1750-2799
|
| DOI | 10.1038/nprot.2016.117
|
| PubMed ID | 27606777
|
| Links |