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Bioinformatics Center at the University of Arkansas, Little Rock
Brings together researchers with backgrounds in mathematics, statistics and quantitative biology with the goal of developing a conceptual architecture for an information-based, integrative approach to complex biological systems.
Develops and applies computational and statistical methods to detecting and characterizing genetic, genomic, and proteomic biomarkers of common human diseases.
This is a research group within the Stanford Medical Informatics laboratory directed by Russ Altman, MD, PhD. We focus on the application of computational techniques to problems in molecular biology. We are particularly interested in (1) knowledge-based systems for supporting scientific computation (2) the representation and manipulation of structural uncertainty, (3) and the development of novel representations of structure that are useful for computing.
Developing of computational methodologies and software tools for the study of protein folding, misfolding and aggregation as well as structure-based drug design.
An Israeli lab focussing on: determination of T-cell epitopes along a protein sequence, protein-DNA interaction in transcription regulation, genome-scale analysis, sequence-structure relationship.