Statistical inference of sequence-dependent mutation rates |
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Authors: | MihaelaZavolan Thomas B. Kepler |
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Affiliation: | Laboratory of Computational Genomics, The Rockefeller University, 1230 York Avenue, New York, New York 10021, USA. mihaela@genomes.rockefeller.edu |
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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. |
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Keywords: | mutation rate estimation mutational spectrum sequence context mutagenesis evolution mutational hot spots somatic hypermutation |
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