MIG Seminar - Alexei Drummond - BEAST 2.5: An Advanced Software Platform for Bayesian Evolutionary Analysis

Seminar/Forum

MIG Seminar - Alexei Drummond - BEAST 2.5: An Advanced Software Platform for Bayesian Evolutionary Analysis

BEAST 2.5: An Advanced Software Platform for Bayesian Evolutionary Analysis

Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary data. It is increasingly appreciated that some evolutionary questions can only be adequately answered by combining evidence from multiple independent sources of data, including genome sequences, sampling dates, phenotypic data, radiocarbon dates, fossil occurrences, biogeographic range information among others. Including all relevant data into a single joint model is challenging both conceptually and computationally. A key role in these developments has been played by advanced computational software packages that allow robust development of compatible (sub-)models that can be composed into a full model hierarchy.

Developing such software frameworks is increasingly a major scientific activity in its own right, and comes with specific challenges, from practical software design, development and engineering challenges to statistical and conceptual modelling challenges. BEAST 2 is one such computational software platform, and was first announced over 4 years ago. I will describe the major new developments in the BEAST 2 core platform and some projects we are currently working on.

Presenter

  • Professor Alexei Drummond
    Professor Alexei Drummond, Director for the Centre for Computational Evolution