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 (ÐÓ°ÉÖ±²¥ of Canterbury), Michael Lee (SA Museum), Stepane Guindon (ÐÓ°ÉÖ±²¥ of Auckland) and Simon Ho (ÐÓ°ÉÖ±²¥ 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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