Mathematical Sciences: Mathematical Tools for Molecular     Sequence Analysis
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This project involves a group of researchers working on                    mathematical, statistical and computational methods for analysis                of DNA, RNA, and protein sequences.  Modern technology has made                 it possible to rapidly sequence DNA and RNA.  The related                       mathematical work finds significant matchings, patterns and                     alignments in these sequences.  Statistical techniques are used                 to narrow the range of possible genomic maps that are consistent                with the biologically correct one.  The group will find                         distributional results on the scores of best matching segments                  between random sequences under various notions of similarity.                   Stochastic annealing will be used in the restriction mapping of                 smaller regions of DNA as well as large-scale genomic mapping                   projects.  The problems related to molecular evolution will                     reconstruct evolutionary histories from sequence data.
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