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Collaboration

 

William Fairbrother, Brown University (email)
Assistant Professor Bio Med Molecular, Cellular Biology, Biochemistry
Dr. Fairbrother's lab uses a combination of computational biology and high throughput genomics techniques to identify functional elements in the genome. He is particularly interested in sequence elements that regulate RNA splicing. Specific projects include 1) understanding how particular arrangements of sequence elements are read by the splicing machinery, 2) identifying disease causing mutations/polymorphisms in the human population, and 3) investigating the evolution of gene expression signals.

Jim Thomas, Emory University (email)
Human Genetics
The genomes of many vertebrates, including human, have now been sequenced. However, only a small fraction of the human genome can be assigned a specific function. Comparative genomics is one powerful method to detect functional elements in primary genomic sequence. The focus of our lab is to use comparative genomics to ascertain the function, and evolution of genomic sequence. Currently, our analysis includes an array of species (human, chimpanzee, armadillo, bat, elephant, wallaby, platypus, emu, alligator, pufferfish, catfish, and shark) that allows us to compare rates and patterns of genome evolution across vertebrates. In addition, our approach provides an experimental resource that can be used to infer the function of genomic sequence using interspecies functional assays.

Chip Lawrence, Brown University (email)
Professor of Applied Mathematics
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.

William Thompson, Brown University (email)
Assistant Professor of Applied Mathematics (Research)
To turn the genetic blueprint into a functional organism, genes must be expressed in a specific temporal and spatial pattern. Finding the signals that control this expression and understanding their interactions is a key to learning the language of the genes. One of the first steps in this process is locating the regulatory elements directly encoded in DNA sequences. The focus of Dr. Thompson's research is to develop computational methods to locate these key regulatory elements.

 

 

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