RESTful API in life science research systems and data integration challenges: linking metabolic pathway, metabolic network, gene and publication

نویسندگان

  • Etienne Z. Gnimpieba
  • Brent S. Anderson
  • Carol M. Lushbough
چکیده

Translational science research development requires life sciences researchers to update their concept on systems integration and data integration. The RESTful API has proven to be very useful in integrating the massive amount of data and tools. This work presents an approach for biological systems analysis based on the semantic web and RESTful API. The integration of this approach in the BioExtract Server engine as a Workflow Management System (WMS) allows us to apply our work to the linking of several biological levels (metabolic pathway, metabolic network model, genes and

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تاریخ انتشار 2013