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Review
. 2005 Sep 20;102(38):13355-62.
doi: 10.1073/pnas.0501804102. Epub 2005 Sep 12.

Statistical signals in bioinformatics

Affiliations
Review

Statistical signals in bioinformatics

Samuel Karlin. Proc Natl Acad Sci U S A. .

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.

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Figures

Fig. 1.
Fig. 1.
High-scoring assignments to identify transmembrane protein segments. A, experimentally established transmembrane tracts.

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