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SUMMARY:Assessing the limits of phylogenomics: can too much data be a bad 
 thing? - Bininda-Emonds\, O (Carl von Ossietzky Universitt Oldenburg)
DTSTART:20110624T080000Z
DTEND:20110624T090000Z
UID:TALK31877@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:In contrast to the situation not even 20 years ago\, molecular
  sequence data is now plentiful (if still patchily distributed) and phylog
 enomic studies of hundreds of taxa on a broad taxonomic scale are becoming
  increasingly common. Whereas the accuracy of phylogenetic analysis was li
 mited until recently by a shortage of data (and then for both taxa and cha
 racters)\, the results of large and comprehensive phylogenomic studies whe
 re data are not limiting are also not without their problems. Analyses inc
 luding large numbers of taxa run up against the superexponential increase 
 in the number of possible solutions\, requiring any or all of more time\, 
 faster computers in conjunction with parallel processing\, and cleverer he
 uristics to find a hopefully near optimal solution. Perhaps less appreciat
 ed\, however\, is that the increasing taxonomic scope of our analyses dema
 nds the use of large amounts of molecular sequence data with significant r
 ate heterogeneity across the data set (whether between or within partition
 s) to achieve full resolution throughout the tree. In this talk\, I examin
 e how the performance of phylogenetic analysis is affected when analyzing 
 large number of taxa or a large multigene data set incorporating the degre
 e of rate heterogeneity that is to be found\, if not needed\, in typical p
 hylogenomic data sets.\n
LOCATION:Seminar Room 1\, Newton Institute
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