id:"swepub:oai:DiVA.org:su-35178"
Sökning: id:"swepub:oai:DiVA.org:su-35178" > Global networks of ...
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 02992naa a2200361 4500 | |
| 001 | oai:DiVA.org:su-35178 | |
| 003 | SwePub | |
| 008 | 100114s2009 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-351782 URI |
| 024 | 7 | a https://doi.org/10.1101/gr.087528.1082 DOI |
| 040 | a (SwePub)su | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Alexeyenko, Andreyu Stockholms universitet,Institutionen för biokemi och biofysik4 aut |
| 245 | 1 0 | a Global networks of functional coupling in eukaryotes from comprehensive data integration |
| 264 | c 2009-02-25 | |
| 264 | 1 | b Cold Spring Harbor Laboratory,c 2009 |
| 338 | a print2 rdacarrier | |
| 520 | a No single experimental method can discover all connections in the interactome. A computational approach can help by integrating data from multiple, often unrelated, proteomics and genomics pipelines. Reconstructing global networks of functional coupling (FC) faces the challenges of scale and heterogeneity--how to efficiently integrate huge amounts of diverse data from multiple organisms, yet ensuring high accuracy. We developed FunCoup, an optimized Bayesian framework, to resolve these issues. Because interactomes comprise functional coupling of many types, FunCoup annotates network edges with confidence scores in support of different kinds of interactions: physical interaction, protein complex member, metabolic, or signaling link. This capability boosted overall accuracy. On the whole, the constructed framework was comprehensively tested to optimize the overall confidence and ensure seamless, automated incorporation of new data sets of heterogeneous types. Using over 50 data sets in seven organisms and extensively transferring information between orthologs, FunCoup predicted global networks in eight eukaryotes. For the Ciona intestinalis network, only orthologous information was used, and it recovered a significant number of experimental facts. FunCoup predictions were validated on independent cancer mutation data. We show how FunCoup can be used for discovering candidate members of the Parkinson and Alzheimer pathways. Cross-species pathway conservation analysis provided further support to these observations. | |
| 653 | a NATURAL SCIENCES | |
| 653 | a NATURVETENSKAP | |
| 653 | a Biophysics | |
| 653 | a biofysik | |
| 653 | a Biochemistry | |
| 653 | a biokemi | |
| 700 | 1 | a Sonnhammer, Erik L Lu Stockholms universitet,Institutionen för biokemi och biofysik4 aut0 (Swepub:su)esonn |
| 710 | 2 | a Stockholms universitetb Institutionen för biokemi och biofysik4 org |
| 773 | 0 | t Genome Researchd : Cold Spring Harbor Laboratoryg 19:6, s. 1107-16q 19:6<1107-16x 1088-9051x 1549-5469 |
| 856 | 4 | u http://genome.cshlp.org/content/19/6/1107.full.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-35178 |
| 856 | 4 8 | u https://doi.org/10.1101/gr.087528.108 |
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