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Information for Miami University Bioinformatics Workshop participants — May, 2008
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The Bioinformatics Research Group (BiRG) at Wright State University
Bioinformatics is a new and rapidly evolving discipline that has emerged from the fields of experimental molecular biology and biochemistry, and from the the artificial intelligence, database, and algorithms disciplines of computer science.
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The Bioinformatics Research Group (BiRG) at Wright State University is interested in the development of novel computational techniques to develop and apply novel bioinformatics techniques to the rapidly-growing, freely-available repositories of genetic and proteomic data. Bioinformatics, proteomics, genomics, and computational biology are a few of the monikers that have recently been associated with this research.
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Computer science is a path to understanding genomes just as biology helps us in understanding living organisms. It is hard to imagine a more significant area where we must hone our methods of questioning than bioinformatics. Some of the specific biological problems that we investigate include protein-water interactions and ligand binding, protein conformation and the activity of molecular chaperones, and protein binding site identification.
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To explore these problems, we use a wide array of contemporary computational methods including evolutionary computation (genetic algorithms, evolutionary programming, genetic programming, and others), pattern recognition (various statistical classification techniques including nearest neighbor and Bayesian classification), custom optimization and data-mining algorithms, and the effect of genomic context on nucleotide substitutions.
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The BiRG lab's primary goal to help devise and implement novel algorithms for analyzing and understanding large biological data sets to better solve issues in drug design, the analysis and diagnosis of disease, and basic research in organism functionality.
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BiRG Lab Meetings:
The BiRG Lab Meeting time for Spring, 2008 is
currently
1:30 - 2:30 pm on Wednesdays in the BiRG lab (390 Joshi). All students and faculty interested in bioinformatics
research are welcome to attend.
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This material is based upon work supported by the National Science Foundation under award #EIA-0122582. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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