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Charles (Chip) Lawrence has been involved in computational biology research since the early 1980's. His research now specifically focuses on the application of Bayesian algorithms that he and his collaborators have developed, leading to biological insights on transcription regulation and identification of regulatory motifs in prokaryotic and eukaryotic sequences, comparative genomics, antisense oligonucleotide and siRNA design, the composition of nucleotide sequences and detailed analyses of several protein families.
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Charles (Chip) Lawrence has been involved in computational biology research since the early-1980s. At a time when research in the field was focused on algorithmic approaches, he was a pioneer in developing novel statistical approaches to biological sequence analysis. In fact, he was one of the first to recognize that the inherent statistical nature of genomic processes and the immense data resulting from genomic sequencing projects could only be fully analyzed by using statistical algorithms.
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 CHARLES LAWRENCE, 1971 Ph.D., Cornell University http://research.brown.edu/myresearch/Charles_Lawrence Are you Charles Lawrence? Click here to edit your research profile. |
