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BD2K Aztec is a global biomedical resource discovery index that allows users to simultaneously search a diverse array of tools. The resources indexed include web services, standalone software, publications, and large libraries composed of many interrelated functions. Aztec will ensure that software tools remain findable in the long term by issuing persistent DOIs and routinely updating metadata for the entire index. Aztec’s established ontologies and robust API support the programmatic query of its entire database, as well as the construction of indexes for specialized subdomains. Aztec is currently in its alpha-release phase (version 1.1), in which it is being evaluated and tested by internal users at UCLA, as well as invited external users at Sage Bionetworks, TSRI, and EMBL-EBI. Their feedback and comments have been documented and incorporated into Aztec's next release. Join the conversation on Twitter, follow along with @NCI_NCIP and #CBIITSS during the presentation. |
BIO:
Wei Wang is the Leonard Kleinrock Chair Professor in Computer Science at University of California, Los Angeles and the director of the Scalable Analytics Institute (ScAi). She received her Ph.D. in Computer Science from the University of California, Los Angeles in 1999. She was a professor in Computer Science at the University of North Carolina (UNC) at Chapel Hill from 2002 to 2012, and was a research staff member at the IBM Thomas J. Watson Research Center between 1999 and 2002. Dr. Wang's research interests include big data analytics, data mining, bioinformatics and computational biology, and databases. She has filed seven patents, and has published one monograph and more than one hundred seventy research papers in international journals and major peer-reviewed conference proceedings.
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