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NDEx: A Community Resource for Sharing and Publishing of Biological Networks.
Pillich, Rudolf T; Chen, Jing; Rynkov, Vladimir; Welker, David; Pratt, Dexter.
Afiliação
  • Pillich RT; UC San Diego Center for Computational Biology and Bioinformatics (MC 0681), University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. rpillich@ucsd.edu.
  • Chen J; UC San Diego Center for Computational Biology and Bioinformatics (MC 0681), University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
  • Rynkov V; UC San Diego Center for Computational Biology and Bioinformatics (MC 0681), University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
  • Welker D; UC San Diego Center for Computational Biology and Bioinformatics (MC 0681), University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
  • Pratt D; UC San Diego Center for Computational Biology and Bioinformatics (MC 0681), University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Methods Mol Biol ; 1558: 271-301, 2017.
Article em En | MEDLINE | ID: mdl-28150243
Networks are a powerful and flexible paradigm that facilitate communication and computation about interactions of any type, whether social, economic, or biological. NDEx, the Network Data Exchange, is an online commons to enable new modes of collaboration and publication using biological networks. NDEx creates an access point and interface to a broad range of networks, whether they express molecular interactions, curated relationships from literature, or the outputs of systematic analysis of big data. Research 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 can also facilitate the integration of networks as data in electronic publications, thus making a step toward an ecosystem in which networks bearing data, hypotheses, and findings flow seamlessly between scientists.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Editoração / Interface Usuário-Computador / Software / Biologia Computacional / Bases de Dados Genéticas / Disseminação de Informação / Navegador Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Editoração / Interface Usuário-Computador / Software / Biologia Computacional / Bases de Dados Genéticas / Disseminação de Informação / Navegador Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos