BioFast: Efficient and Seamless Life Science Data Management

There has been an exponential growth in the amount of data on the web that is available to the biological enterprise. This wealth of complex and diverse data presents significant opportunities and challenges for data integration and seamless access to these sources. This report summarizes research in Bioinformatics circa 2002. This workshop sponsored by NSF and NIH addressed data management challenges for the genomics, proteomics, etc.

Our research will apply prior expertise on data integration architectures based on wrappers and mediators, query planning and optimization, and data modeling and data mining techniques to provide seamless access to heterogeneous Web accessible sources. We will develop techniques from areas such as query optimization, adaptive query evaluation, machine learning and schema mapping and integration of heterogeneous databases, to solve problems of data integration with biological data sources. Specific research projects include the following:

• Seamless and Efficient Access to Biomolecular Sources .
• Mediation Technology for Biological Pipeline Analysis .
• The BIP Bioinformatics Pipeline Toolbox .
• Enhancing the Semantics of Links in Life Science Sources .

  Participants

  • Zoe Lacroix , Arizona State University, PI
  • Louiqa Raschid, University of Maryland, PI
  • Terry Gaasterland Rockefeller University (Collaborator)
  • Maria Esther Vidal, Universidad Simon Bolivar (Collaborator)
  • Felix Naumann, Humboldt University of Berlin
  • Woei-Jyh (Adam) Lee University of Maryland, Ph.D. Candidate.
  • Yao Wu University of Maryland, Ph.D. Candidate.

  LOOKING FOR A GRA OR RESEARCH TOPIC ?

  Interested first and second year doctoral students in Computer Science should email Louiqa Raschid (Professor in UMIACS, Smith School of Business and the Department of Computer Science). We are looking for both GRAs as well as students interested in topics for independent study projects and scholarly papers. No expertise in biology is required although an interest in life science is a plus.