New Paper: The influence of rate heterogeneity among sites on the time dependence of molecular rates
A new paper involving Environment Institute members , and as well as Mike Steel (University of Canterbury), Michael Lee (SA Museum), Stepane Guindon (University of Auckland) and Simon Ho (University of Sydney) has recently been published in the journal .
The paper titled uses mathematical modelling and Bayesian analyses of simulated sequence alignments to explore how mutational hotspots can lead to time-dependent rate estimates. The results suggest that data partitioning or simple non-parametric mixture models of RHAS significantly improve the accuracy with which node ages and substitution rates can be estimated.
To find out more about this exciting research .
The paper titled uses mathematical modelling and Bayesian analyses of simulated sequence alignments to explore how mutational hotspots can lead to time-dependent rate estimates. The results suggest that data partitioning or simple non-parametric mixture models of RHAS significantly improve the accuracy with which node ages and substitution rates can be estimated.
To find out more about this exciting research .
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