|
Tuesday,
November 4th, 2003
Keynote Session
Session
Chair:
8:30-
8:45 Dr.
Arden Bement, NIST Director
Converging
Technologies: Physical & Biological Sciences
8:45-
9:30 Dr. Robert Robbins, Fred Hutchinson
Cancer Research Center
Institutional
Standards – The Critical Missing Piece
9:30-
10:15 Professor John Wooley, UC San
Diego
Computing 21st Century Biology
10:15 10:45
Break
10:45-
11:30 Dr. Jim Ostell, NCBI/NIH
NCBI/NIH
Surfing the Information Tsunami at NCBI
11:30-
12:15 Dr. Jill Kaufman, IBM Life
Sciences
Emerging
Life Sciences Standards
12:15 pm
- 1:30 pm Lunch
Focused
Session 1: Biomedical Data Integration Standards
Session
Chair: Dr.
Milton Corn, National Library of Medicine, NIH
1:30-2:00
Dr.
Monica Crubezy, Stanford Medical Informatics, Stanford
University
Using
Ontologies for Data and Semantic Integration
2:00-2:30
Dr.
David Benton, Informatics and Knowledge Management, GlaxoSmithKlein
Issues
in Information Integration for Drug Discovery
2:30-3:00
Dr.
Gary Bader, Computational Biology Center, Memorial Sloan-Kettering
Cancer Center
BioPAX
- A Data Exchange Format for Biological Pathways
3:00-3:30
Break
3:30-4:00
Professor
Bruno W.S. Sobral, Virginia Bioinformatics Institute,
Virginia Tech
A
Life Scientist's Road to Interoperability of Data and Tools
4:00-4:30
Professor
Michael Vannier, Department of Radiology, University of
Iowa
Integration
of In Vivo Imaging Data: What's missing?
4:30-5:30
Panel Discussion, led by Chairman
Corn. Some topics to get started: How can the vast variety
of relevant biomedical information (from data to knowledge) be integrated
where it is required? Can we develop some data integration standards
that facilitate seamless integration of systems from different areas,
and allow synthesis of knowledge from systems with different ontologies?
What other types of standards can facilitate the integration of
data/information/knowledge (e.g. physical standards for various
types of imaging; standards for determining fidelity of machine
learning in systems for diagnosis from fused data? Is it possible
to build a roadmap for such standards, and what are the underlying
scientific ideas that will be required for the roadmap to work (or
maybe even just to be laid out)? What is happening already that
is promising, and what things are missing that need to be done?
Panel: Session
chair, All speakers, Dr.
Larry Reeker; NIST, Dr.
Steve Ray; NIST, with interaction of audience.
6:00 pm
- 7: 00pm Cocktails; Cash Bar
7:00 pm
Dinner, Dr.
Juan Enriquez , Speaker
Joint dinner with other BISTIC satellite meeting "Systems
Biology: Information Processing in the Biological Organism"
Wednesday, November 5th, 2003
Focused Session 2: Networked Science Standards
Session
Chair: Kevin Mills,
Senior Research Scientist in the Advanced Network Technologies Division,
NIST
8:40-9:10
Dr.
Kenneth H. Buetow, Director NCI Center for Bioinformatics,
OD, NCI, NIH; Chief Laboratory of Population Genetics, CCR, NCI,
NIH
The NCI Center for Bioinformatics (NCICB): building a foundation
for in silico Cancer Research
9:10-9:40
Dr.
Richard Hilderbrandt, Program Director for Advanced Computational
Infrastructure
TeraGrid,
a Powerful New Research Tool for Digital Biology
9:40-10:15
Dr.
Ian Foster, Associate Director and Professor, Argonne
National Laboratory and University of Chicago
Future
Scientific Infrastructure
10:15-10:50
Dr.
Andrew Grimshaw, Founder and Chief Technology Officer,
Avaki
Creating
Value with Data Grids and Life Sciences
10:50-11:00
Break
11:00-12:00
Panel Discussion led by Chairman Su. Some topics to get started:
What information standards are needed to harness the computing power
of grid networks? What current standards exist and what organizations
are active in development of the standards? Where are "standards"
not standards - i.e. what competing views of standards have been
offered by different organizations? What standards are critical
to the development of grid technologies to enable necessary scientific
advancements over the next ten years? What standards may be needed
specific to the Teragrid? What advances are awaiting standards -
i.e. what would additional standards enable grid computing to become?
Are specific standards necessary to enable grid computing in the
life sciences environment?
Panel: Session
chair and all speakers with audience participation.
12:00 -
1:30 Lunch
Focused
Session 3: Quantitative Computational Biology
Session
Chairs: Dr.
Gary Gilliland and Dr.
Ram D. Sriram, NIST
1:30 -
1:55 Dr.
Arlin Stoltzfus, Research Biologist, NIST
NIST
Models of Protein Evolution
1:55 -
2:20 Professor
Atul Butte and Dr.
Keith Elliston, GENSTRUT
Integration
of Machine Learning, Genomics, and other tools in the Drug Discovery
Process
2:20 -
2:45 Professor
John Doyle, Caltech
ERATO
Systems Biology Workbench
2:45 -
3:10 Dr.
Sri Kumar, Program Manager, DARPA BIOCOMP Program
Standards for Cell Models: DARPA BioCOMP Experience
3:10 - 3:35
Break
3:35 -
4:00 Professor
Robert S. Eisenberg, Bard Professor and Chairman, Dept.
of Molecular Biophysics and Physiology, Rush Medical Center, Chicago
Calibrating
Models of Channels and Proteins
4:00 - 5:00:
Panel Discussion
- What do
you see as the trends in Quantitative Computational Biology (QCB)?
- What is
the current state of data standards--both at the domain level
and at the interface level-- that impact your area of QCB)?
- What do
you perceive as the gaps in integrating tools and techniques in
quantitative computational biology?
- What are
the opportunities for developing data standards that can fill
these gaps?
- What kinds
of roles do you see for NIST and NIH for advancing the state of
the art in QCB?
5:00 Wrap
up and determine key points for the report
|
