skip to content

Big trees: challenges and opportunites in the phylogenetic analysis of large data sets

Thursday 6th September 2007 - 14:00 to 15:00
INI Seminar Room 1

It is becoming easier to obtain genetic sequences. Many of these will be used for phylogenetic analyses. But these analyses have traditionally been hampered by the size of the data (usually, the number of sequences) that can be analysed satisfactorily. In this talk, I consider three problems that have arisen as a consequence of having "too much" data. First, supertree reconstruction may provide some relief with large datasets, but what is the best way of reconstructing supertrees? I explore the possibility of constructing maximum-likelihood estimates of supertrees, and discuss some of the features that such trees may possess. Second, I consider how we can break up datasets to make satisfactory inferences. Finally, I look at the new generation of automatic sequencing machines, and the promise of large amounts of data. I outline some computational approaches that may be useful in analysing this type of data. This talk provides very little in the way of concrete results but a great deal of informed speculation. It is not my intention to instruct, but to stimulate discussion.

The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons