Richard Hughey's research has focussed on two areas: high-performance VLSI computer architecture and biological sequence analysis. The Kestrel programmable sequence analysis accelerator was a single-board parallel processor designed to speed biological sequence analysis for Smith & Waterman searchin, HMMs, conformational chemistry, graph coloring, and other areas. Hughey, Dr. Anders Krogh, Professors Haussler and Karplus, and UC Santa Cruz student researchers developed developed the Sequence Analysis and Modeling (SAM) software suite. SAM is a a collection of algorithms and software used to create statistical models of RNA, DNA, and protein families with profile hidden Markov models. Dr. Hughey has been active in program development, including the UC Santa Cruz Bioinformatics and Bioengineering programs. He is presently Vice Provost and Dean of Undergraduate Education at UC Santa Cruz.
Summary
Published articles Show More
SAM-T04: what is new in protein-structure prediction for CASP6.
Published in Proteins Structure Function and Bioinformatics
The SAM-T04 method for predicting protein structures uses a single protocol across the entire range of targets, from comparative modeling to new folds. This protocol is similar to the SAM-T02 protocol used in CASP5, but has improvements in the iterative search for similar sequences in finding and aligning templates, in creating fragment libraries, ...
Alkaline hemolysis fragility is dependent on cell shape: results from a morphology tracker.
Published in Cytometry Part A
Predicting protein structure using hidden Markov models.
Published in Proteins Structure Function and Bioinformatics
We discuss how methods based on hidden Markov models performed in the fold-recognition section of the CASP2 experiment. Hidden Markov models were built for a representative set of just over 1,000 structures from the Protein Data Bank (PDB). Each CASP2 target sequence was scored against this library of HMMs. In addition, an HMM was built for each of...