Researcher, San Diego Supercomputer Center
Bio: Dr. Gribskov has wide ranging interests in computational molecular biology. These interests fall into several main categories. One area of interest is the application of pattern recognition and machine learning techniques to biomolecules. These approaches are often used in the functional annotation of molecules based on their sequences. A second area is the design and implementation of biological databases, and the development of interactive data laboratories that integrate analytical tools and databases. Finally, Dr. Gribskov is interested in the development of interoperable resources to support genomics and systems biology using approaches such as database federation, data mediation, and web services.
Since 2003 Dr. Gribskov has been the president of the International Society for Computational Biology, the largest professional society devoted to bioinformatics and computational biology.
Research: My interests lie in the identification of patterns in macromolecular sequences and particularly in the relationships between protein sequence, structure, and evolution.
These approaches are useful for the assignment of function to novel genes, for the development of candidate gene probes, and for understanding how and why proteins work the way they do.