Estimating indel rates and length distributions


Well I’ve sent my stuff off to the publisher, so I figure that I’ll share the abstract with y’all.

Cartwright RA. Problems and solutions for estimating indel rates and length distributions. Molecular Biology and Evolution. (in press)

Insertions and deletions (indels) are fundamental but understudied components of molecular evolution. Here we present an expectation-maximization algorithm built on a pair hidden Markov model that is able to properly handle indels in neutrally evolving DNA sequences. From a dataset of orthologous introns, we estimate relative rates and length distributions of indels among primates and rodents. This technique has the advantage of potentially handling large genomic datasets. We find that a zeta power-law model of indel lengths provides a much better fit than the traditional geometric model and that indel processes are conserved between our taxa. The estimated relative rates are about 12–16 indels per 100 substitutions, and the estimated power-law magnitudes are about 1.6–1.7. More significantly, we find that using the traditional geometric/affine model of indel lengths introduces artifacts into evolutionary analysis, casting doubt on studies of the evolution and diversity of indel formation using traditional models and invalidating measures of species divergence that include indel lengths.

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This page contains a single entry by Reed A. Cartwright published on November 25, 2008 1:24 PM.

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