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NDEx, the Network Data Exchange

Abstract

Networks are a powerful and flexible methodology for expressing biological knowledge for computation and communication. Network-encoded information can include systematic screens for molecular interactions, biological relationships curated from literature, and outputs from analysis of Big Data. NDEx, the Network Data Exchange (www.ndexbio.org), is an online commons where scientists can upload, share, and publicly distribute networks. Networks in NDEx receive globally unique accession IDs and can be stored for private use, shared in pre-publication collaboration, or released for public access. Standard and novel data formats are accommodated in a flexible storage model. Organizations can use NDEx as a distribution channel for networks they generate or curate. Developers of bioinformatic applications can store and query NDEx networks via a common programmatic interface. NDEx helps expand the role of networks in scientific discourse and facilitates the integration of networks as data in publications. It is a step towards an ecosystem in which networks bearing data, hypotheses, and findings flow easily between scientists.

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References
1.
Demir E, Cary M, Paley S, Fukuda K, Lemer C, Vastrik I . The BioPAX community standard for pathway data sharing. Nat Biotechnol. 2010; 28(9):935-42. PMC: 3001121. DOI: 10.1038/nbt.1666. View

2.
Schaefer C, Anthony K, Krupa S, Buchoff J, Day M, Hannay T . PID: the Pathway Interaction Database. Nucleic Acids Res. 2008; 37(Database issue):D674-9. PMC: 2686461. DOI: 10.1093/nar/gkn653. View

3.
Le Novere N, Bornstein B, Broicher A, Courtot M, Donizelli M, Dharuri H . BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems. Nucleic Acids Res. 2005; 34(Database issue):D689-91. PMC: 1347454. DOI: 10.1093/nar/gkj092. View

4.
Kanehisa M, Goto S . KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 1999; 28(1):27-30. PMC: 102409. DOI: 10.1093/nar/28.1.27. View

5.
Croft D, Mundo A, Haw R, Milacic M, Weiser J, Wu G . The Reactome pathway knowledgebase. Nucleic Acids Res. 2013; 42(Database issue):D472-7. PMC: 3965010. DOI: 10.1093/nar/gkt1102. View