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Bioinformatics: Converting Data to Knowledge (2000)

Chapter: Appendix A: Agenda

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Suggested Citation:"Appendix A: Agenda." National Research Council. 2000. Bioinformatics: Converting Data to Knowledge. Washington, DC: The National Academies Press. doi: 10.17226/9990.
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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

Suggested Citation:"Appendix A: Agenda." National Research Council. 2000. Bioinformatics: Converting Data to Knowledge. Washington, DC: The National Academies Press. doi: 10.17226/9990.
×

10:45

Session II: Interoperability of Databases

  1. Design features of interoperable databases

    Daniel Gardner, Cornell University

  2. Information retrieval and complex queries

    Peter Karp, SRI International

  3. Definition of data elements and database structure

    William Gelbart, Harvard University

  4. 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

  1. Curation and quality control

    Michael Cherry, Stanford University

  2. Error detection protocols

    Chris Overton, University of Pennsylvania

  3. 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

  1. Modeling and simulation

    James Bower, California Institute of Technology

  2. Data Mining

    Douglas Brutlag, Stanford University

  3. 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

Suggested Citation:"Appendix A: Agenda." National Research Council. 2000. Bioinformatics: Converting Data to Knowledge. Washington, DC: The National Academies Press. doi: 10.17226/9990.
×
Page 31
Suggested Citation:"Appendix A: Agenda." National Research Council. 2000. Bioinformatics: Converting Data to Knowledge. Washington, DC: The National Academies Press. doi: 10.17226/9990.
×
Page 32
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The goal of this workshop was to bring together bioinformatics stake holders from government, academe, and industry for a day of presentations and dialogue. Fifteen experts identified and discussed some of the most important issues raised by the current flood of biologic data. Topics explored included the importance of database curation, database integration and interoperability, consistency and standards in terminology, error prevention and correction, data provenance, ontology, the importance of maintaining privacy, data mining, and the need for more computer scientists with specialty training in bioinformatics. Although formal conclusions and recommendations will not come from this particular workshop, many insights may be gleaned about the future of this field, from the context of the discussions and presentations described here.

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