John Kececioglu
Location: (Tucson, AZ)
Personal Research Web Page: http://www.cs.arizona.edu/people/kece
Keywords: Bioinformatics, computational biology, algorithm design and implementation, combinatorial optimization
Posted on: Wednesday, April 28th, 2010
Broad Research Area: Scientific/Medical Informatics, Theory / Algorithms
Research Interests:
Our research interests are in the design and implementation of rigorous algorithms, and their dissemination as useful software tools, for fundamental problems in computational biology. Our current research is applying techniques from string algorithms, graph algorithms, combinatorial optimization, and machine learning to biological sequence analysis. Topics of interest include multiple sequence alignment, genome alignment, next generation sequencing, approximate repeat finding, motif discovery, RNA simultaneous folding and alignment, protein secondary structure prediction, and inverse parametric optimization. Recent work has lead to the release of the software tools AlignAlign, Opal, and IPA for multiple sequence alignment and inverse parametric alignment.
