Algorithms in Support of the Human Genome Project[1]

Dan Gusfield, Jim Knight, Kevin Murphy, Paul Stelling, Lushen Wang

Department of Computer Science, University of California, Davis, CA 95616. gusfield@cs.ucdavis.edu; and Archie Cobbs, Paul Horton, Gene Lawler, Department of Computer Science, University of California, Berkeley, CA

Our research covers a wide variety of algorithmic and data structure issues involved in obtaining and analyzing sequence data, in searching databases, in reconstructing sequences from hybridization data, in reconstructing evolutionary history from sequence data or from genome rearrangements, in studying repeated structures in biological sequences. The work is both theoretical and applied, and has produced more than twenty papers and five computer programs in the last two years. Below is a selected listing of some of the recent efforts supported by the grant.

Sequence analysis and database searching:

Genome Rearrangements:

Sequence Reconstruction:

[1]Supported by DOE Grant DE-FG03-9OER60999


Abstracts scanned from text submitted for January 1996 DOE Human Genome Program Contractor-Grantee Workshop.

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