CALL-FOR-PAPERS: SNP Data Analysis & Management at PSB'2000

Francisco M. De La Vega fvega at computer.org
Mon May 24 13:04:01 EST 1999

Human Genome Variation: Analysis, Management and Application
of SNP Data

A session of the Pacific Symposium on Biocomputing 2000,
Honolulu, Hawaii, January 5-9, 2000

Recently there has been considerable interest in using
single nucleotide polymorphisms (SNP) for the understanding
of complex diseases and for pharamacogenetics. The human
genetics community, both private and academic, is engaged in
large scale SNP discovery efforts and assay development.
With the imminent development of high throughput
methodologies for automating the SNP discovery and screening
process, it is likely that many if not all of the common
polymorphisms will be identified and characterized in the
next several years.

As is often the case, data production may outpace current
data management and analysis capabilities. New, specialized
SNP databases are being designed and implemented to capture
the impending flood of polymorphism data. Comprehensiveness
of the captured data and the exploration of its intellectual
content is essential. Computational methods and tools to
handle and analyze polymorphism data flow will certainly
play an important role in this challenge.

Call for Participation

The PSB 2000 session "Human Genome Variation: Analysis,
Management and Application of SNP Data" aims to provide a
timely forum in this area, bringing together computer
scientists, bioinformatics specialists and biologists, from
academia and industry, to address the forthcoming problems
in the utilization of SNP information.

We encourage academic, industrial and government scientists
to submit manuscripts. In addition to a session for oral
presentation of novel peer-reviewed contributions, there
will be a panel discussion devised to foster exchange
between industry and academic scientists. Participants are
invited to discuss their issues with other peers in this
panel session. Posters and computer demonstrations are also
requested to complement the session.


The contributions should pose and discuss a specific problem
that the biocomputing community will need to address,
describe models, or propose specific solutions to a problem.
Sequence polymorphisms will be the common theme, but the
computational or theoretical contributions can span areas
ranging from population genetics and evolution to data
visualization and management.

Among the anticipated topics are:

Automation of large scale SNP genotyping.
Data management and integration for SNP genotyping systems.
Evolutionary aspects of genome variability and SNP analysis.
Ontologies for human genome variation.
SNP database mining and knowledge discovery.
Statistical methods for SNP analysis.
Tools for high throughput SNP discovery and screening.
Visualization and analysis of SNP data.


PSB will publish accepted full papers in an archival
proceedings indexed in MEDLINE. All contributed papers will
be rigorously peer-reviewed by at least three referees. A
limited number of papers will be selected for a 30-minute
oral presentation to the full assembled conference. Accepted
poster abstracts will be distributed at the conference
separately from the archival Proceedings. Please prepare
your submission according to the instructions found at the
Web page:

Dates & Deadlines

Paper submissions due: July 12, 1999
Notification of paper acceptance: August 27, 1999
Camera ready of accepted papers due: September 24, 1999
Abstract deadline: October 1, 1999
Meeting: January 5-9, 2000

Conference Information

The Pacific Symposium on Biocomputing (PSB 2000) is an
international, multidisciplinary conference for the
presentation and discussion of current research in the
theory and application of computational methods in problems
of biological significance. PSB 2000 will be held January 5-
9, 2000, in Honolulu, Hawaii at the Sheraton Waikiki. For
more information see the official PSB 2000 Web page at :

Session Chairs

Francisco M. De La Vega, Synthesis and Arrays R&D,
PE Biosystems, Foster City, CA, USA.
E-mail: DelaveFM at pebio.com

Martin Kreitman, Department of Ecology and Evolution,
University of Chicago, Chicago, IL, USA.
E-mail: mkre at midway.uchicago.edu

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