APPENDIX

A

Agenda

Board on Biology

BIOINFORMATICS:

Converting Data to Knowledge

Date: February 16, 2000

Location: National Academy of Sciences, 2100 C Street, NW,

Washington, DC — Auditorium

8:00 AM

Continental Breakfast in the Great Hall

8:30

Opening Remarks

Gio Wiederhold, Stanford University

8:40

Opening Presentation: The Signal Transduction Knowledge Environment

Brian Ray, American Association for the Advancement of Science

9:00

Session I: Generating and Integrating Biological Data

  1. Methods for data collection

    Dong-Guk Shin, University of Connecticut

  2. Data characteristics

    Stephen Koslow, National Institute of Mental Health

  3. Data integration

    Jim Garrels, Proteome, Inc.

Moderated Discussion

Susan Davidson, University of Pennsylvania

10:30

Break



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OCR for page 31
Bioinformatics: Converting Data to Knowledge APPENDIX A Agenda Board on Biology BIOINFORMATICS: Converting Data to Knowledge Date: February 16, 2000 Location: National Academy of Sciences, 2100 C Street, NW, Washington, DC — Auditorium 8:00 AM Continental Breakfast in the Great Hall 8:30 Opening Remarks Gio Wiederhold, Stanford University 8:40 Opening Presentation: The Signal Transduction Knowledge Environment Brian Ray, American Association for the Advancement of Science 9:00 Session I: Generating and Integrating Biological Data Methods for data collection Dong-Guk Shin, University of Connecticut Data characteristics Stephen Koslow, National Institute of Mental Health Data integration Jim Garrels, Proteome, Inc. Moderated Discussion Susan Davidson, University of Pennsylvania 10:30 Break

OCR for page 31
Bioinformatics: Converting Data to Knowledge 10:45 Session II: Interoperability of Databases Design features of interoperable databases Daniel Gardner, Cornell University Information retrieval and complex queries Peter Karp, SRI International Definition of data elements and database structure William Gelbart, Harvard University Novel approaches to achieving interoperability James Bower, California Institute of Technology Moderated Discussion Perry Miller, Yale University 12:30 PM Lunch 1:30 Session III: Database Integrity Curation and quality control Michael Cherry, Stanford University Error detection protocols Chris Overton, University of Pennsylvania Methods for correcting errors Bill Andersen, Knowledge Bus, Inc. Moderated Discussion David Galas, Keck Graduate Institute of Applied Life Science 3:00 Break 3:15 Session IV: Converting Data to Knowledge— Analytical Approaches Modeling and simulation James Bower, California Institute of Technology Data Mining Douglas Brutlag, Stanford University Visualization of model fit to data John Mazziotta, University of California, Los Angeles Moderated Discussion Ray White, University of Utah 4:45 Summary Gio Wiederhold, Stanford University 5:00 Reception in the Great Hall