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Approximate Likelihood Estimation of Divergence Time Range

Posted Thu, Dec, 12,2013

Published today in Evolutionary Bioinformatics is a new original research article by Arindam RoyChoudhury. Read more about this paper below:

Title

Approximate Likelihood Estimation of Divergence Time Range Using a Coalescent-based Model

Abstract

We present an estimation of divergence time-range based on a coalescent model. This model sum the probability of coalescent trees, taking into account the effect of incomplete lineage sorting. Maximum likelihood estimate based on this model has been computed previously; however, a formula for divergence time-range estimate or confidence interval has never been presented for this model as the expression of the likelihood makes this estimation difficult to compute. Our formula for the divergence time-range estimate can be readily coded into a program. We did not use a simulation or resampling-based approach and therefore our method is fast and less computationally intensive. We demonstrate that our method is much faster and as accurate as a simulation-based approach.

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