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Statistical inference of sequence-dependent mutation rates
Authors:MihaelaZavolan  Thomas B. Kepler  
Affiliation:Laboratory of Computational Genomics, The Rockefeller University, 1230 York Avenue, New York, New York 10021, USA. mihaela@genomes.rockefeller.edu
Abstract:Several lines of research are now converging towards an integrated understanding of mutational mechanisms and their evolutionary implications. Experimentally, crystal structures reveal the effect of sequence context on polymerase fidelity; large-scale sequencing projects generate vast amounts of sequence polymorphism data; and locus-specific databases are being constructed. Computationally, software and analytical tools have been developed to analyze mutational data, to identify mutational hot spots, and to compare the signatures of mutagenic agents.
Keywords:mutation rate estimation   mutational spectrum   sequence context   mutagenesis   evolution   mutational hot spots   somatic hypermutation
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