Aztec: A Platform to Render Biomedical Software Findable, Accessible, Interoperable, and Reusable
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.
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.
Dr. Wang received the IBM Invention Achievement Awards in 2000 and 2001. She was the recipient of an NSF Faculty Early Career Development (CAREER) Award in 2005. She was named a Microsoft Research New Faculty Fellow in 2005. She was honored with the 2007 Phillip and Ruth Hettleman Prize for Artistic and Scholarly Achievement at UNC. She was recognized with an IEEE ICDM Outstanding Service Award in 2012, an Okawa Foundation Research Award in 2013, and an ACM SIGKDD Service Award in 2016. Dr. Wang has been an associate editor of the IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Big Data, ACM Transactions on Knowledge Discovery in Data, Journal of Knowledge and Information Systems, Data Mining and Knowledge Discovery, and International Journal of Knowledge Discovery in Bioinformatics. She serves on the organization and program committees of international conferences including ACM SIGMOD, ACM SIGKDD, ACM BCB, VLDB, ICDE, EDBT, ACM CIKM, IEEE ICDM, SIAM DM, SSDBM, RECOMB, BIBM. She was elected to the Board of Directors of the ACM Special Interest Group on Bioinformatics, Computational Biology, and Biomedical Informatics (SIGBio) in 2015.
- Machine Learning in Genomics: Tools, Resources, Clinical Applications, and Ethics WorkshopApril 13, 2021 - April 14, 2021Using the Genomic Data Commons APIApril 26, 2021