Our main interests are in methods for the analysis of DNA and amino acid sequences to study evolution. Past work has been on the theoretical basis of phylogenetic analyses of this data, aiming to understand and improve methods, and on the development of statistical methods that test the accuracy of current mathematical models. More recent work has concentrated on devising new, better, mathematical models and the application of these models and methods to comparative genomic data. [Finnish] [French] [German] [Hebrew] [Hungarian] [Italian] [Russian] [Spanish] [Ukrainian]
Typically, we proceed by incorporating greater mathematical complexity in the hope of adding biological reality. By seeing which biological features add most to the accuracy of the models, we hope to find out which proposed evolutionary forces are responsible for the patterns of intra- and inter-specific sequence variation.
Analytical (closed form) solutions of the modelling equations are rarely available, and the methods we develop are almost invariably based on probabilistic modelling and require large
amounts of simulation and the running of randomised analyses.
Consequently, much of our time involves sitting at the fastest computers we can lay our hands on. As computers become more
and more powerful per unit cost, it seems that biologists can only ever analyse their data using methods that are three or four years out of date, whilst we theoreticians are always
clamouring for next year's hardware...
The Goldman Group is headed by Dr Nick Goldman.
For comments and suggestions please email us at email@example.com