Statistical signals in bioinformatics
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Contributed by Samuel Karlin, July 7, 2005
Abstract
The Arthur M. Sackler Colloquium of the National Academy of Sciences, “Frontiers in Bioinformatics: Unsolved Problems and Challenges,” organized by David Eisenberg, Russ Altman, and myself, was held October 15-17, 2004, to provide a forum for discussing concepts and methods in bioinformatics serving the biological and medical sciences. The deluge of genomic and proteomic data in the last two decades has driven the creation of tools that search and analyze biomolecular sequences and structures. Bioinformatics is highly interdisciplinary, using knowledge from mathematics, statistics, computer science, biology, medicine, physics, chemistry, and engineering.
Footnotes
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↵ † E-mail: karlin{at}math.stanford.edu.
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This paper serves as an introduction to the Arthur M. Sackler Colloquium of the National Academy of Sciences, “Frontiers in Bioinformatics: Unsolved Problems and Challenges,” held October 15-17, 2004, at the Arnold and Mabel Beckman Center of the National Academies of Sciences and Engineering in Irvine, CA. Papers from this Colloquium will be available as a collection on the PNAS web site. The complete program is available on the NAS web site at www.nasonline.org/bioinformatics.
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Abbreviations: AS, alternative splicing; i.i.d., independent identically distributed; USS, uptake signal sequence.
- Copyright © 2005, The National Academy of Sciences
