| Literature DB >> 26594663 |
Dexter Pratt1, Jing Chen1, David Welker1, Ricardo Rivas1, Rudolf Pillich1, Vladimir Rynkov1, Keiichiro Ono1, Carol Miello2, Lyndon Hicks3, Sandor Szalma4, Aleksandar Stojmirovic5, Radu Dobrin5, Michael Braxenthaler6, Jan Kuentzer7, Barry Demchak1, Trey Ideker8.
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.Entities:
Year: 2015 PMID: 26594663 PMCID: PMC4649937 DOI: 10.1016/j.cels.2015.10.001
Source DB: PubMed Journal: Cell Syst ISSN: 2405-4712 Impact factor: 10.304