title: Statistical signals in bioinformatics.
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.
authors.affiliation: Department of Mathematics, Stanford University, Stanford, CA 94305-2125, USA. karlin@math.stanford.edu
authors.forename: Samuel
authors.initials: S
authors.lastname: Karlin
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods; D015894:Genome, Human; D023281:Genomics / Q000379:methods; D006801:Humans; D040901:Proteomics / Q000379:methods; D013597:Systems Analysis