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  1. Article: Integration of extracellular RNA profiling data using metadata, biomedical ontologies and Linked Data technologies.

    Subramanian, Sai Lakshmi / Kitchen, Robert R / Alexander, Roger / Carter, Bob S / Cheung, Kei-Hoi / Laurent, Louise C / Pico, Alexander / Roberts, Lewis R / Roth, Matthew E / Rozowsky, Joel S / Su, Andrew I / Gerstein, Mark B / Milosavljevic, Aleksandar

    Journal of extracellular vesicles

    2015  Volume 4, Page(s) 27497

    Abstract: ... Resource Repository, which employs metadata, biomedical ontologies and Linked Data technologies ... The large diversity and volume of extracellular RNA (exRNA) data that will form the basis ... of the exRNA Atlas generated by the Extracellular RNA Communication Consortium pose a substantial data ...

    Abstract The large diversity and volume of extracellular RNA (exRNA) data that will form the basis of the exRNA Atlas generated by the Extracellular RNA Communication Consortium pose a substantial data integration challenge. We here present the strategy that is being implemented by the exRNA Data Management and Resource Repository, which employs metadata, biomedical ontologies and Linked Data technologies, such as Resource Description Framework to integrate a diverse set of exRNA profiles into an exRNA Atlas and enable integrative exRNA analysis. We focus on the following three specific data integration tasks: (a) selection of samples from a virtual biorepository for exRNA profiling and for inclusion in the exRNA Atlas; (b) retrieval of a data slice from the exRNA Atlas for integrative analysis and (c) interpretation of exRNA analysis results in the context of pathways and networks. As exRNA profiling gains wide adoption in the research community, we anticipate that the strategies discussed here will increasingly be required to enable data reuse and to facilitate integrative analysis of exRNA data.
    Language English
    Publishing date 2015-08-28
    Publishing country Sweden
    Document type Journal Article
    ZDB-ID 2683797-3
    ISSN 2001-3078
    ISSN 2001-3078
    DOI 10.3402/jev.v4.27497
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Integration of extracellular RNA profiling data using metadata, biomedical ontologies and Linked Data technologies

    Sai Lakshmi Subramanian / Robert R. Kitchen / Roger Alexander / Bob S. Carter / Kei-Hoi Cheung / Louise C. Laurent / Alexander Pico / Lewis R. Roberts / Matthew E. Roth / Joel S. Rozowsky / Andrew I. Su / Mark B. Gerstein / Aleksandar Milosavljevic

    Journal of Extracellular Vesicles, Vol 4, Iss 0, Pp 1-

    2015  Volume 6

    Abstract: ... Resource Repository, which employs metadata, biomedical ontologies and Linked Data technologies ... The large diversity and volume of extracellular RNA (exRNA) data that will form the basis ... of the exRNA Atlas generated by the Extracellular RNA Communication Consortium pose a substantial data ...

    Abstract The large diversity and volume of extracellular RNA (exRNA) data that will form the basis of the exRNA Atlas generated by the Extracellular RNA Communication Consortium pose a substantial data integration challenge. We here present the strategy that is being implemented by the exRNA Data Management and Resource Repository, which employs metadata, biomedical ontologies and Linked Data technologies, such as Resource Description Framework to integrate a diverse set of exRNA profiles into an exRNA Atlas and enable integrative exRNA analysis. We focus on the following three specific data integration tasks: (a) selection of samples from a virtual biorepository for exRNA profiling and for inclusion in the exRNA Atlas; (b) retrieval of a data slice from the exRNA Atlas for integrative analysis and (c) interpretation of exRNA analysis results in the context of pathways and networks. As exRNA profiling gains wide adoption in the research community, we anticipate that the strategies discussed here will increasingly be required to enable data reuse and to facilitate integrative analysis of exRNA data.
    Keywords ERC Consortium ; DMRR ; exRNA ; exRNA Atlas ; exRNA Portal ; Biology (General) ; QH301-705.5 ; Science ; Q
    Subject code 004
    Language English
    Publishing date 2015-08-01T00:00:00Z
    Publisher Co-Action Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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