アブストラクト
| Date | November 10, 2008 |
| Speaker | Dr. Kimmen Sjölander, Associate Professor, Berkeley Phylogenomics Group, University of California, Berkeley |
| Title | Boosting biological discovery through phylogenomics |
| Abstract |
Phylogenomic methods - integrating genome information and phylogenetic reconstruction - are used for both the inference of species phylogenies and for the prediction of gene function. In this talk, I will discuss the explicit use of evolution as a fundamental principle in bioinformatics, using machine learning methods in combination with evolutionary models to improve the power and specificity of a number of bioinformatics tasks, including new methods from my group for multiple sequence alignment, phylogenetic tree construction, protein structure prediction and prediction of protein active site and specificity residues. I will also present our PhyloFacts Phylogenomic Encyclopedias that we provide as a resource to the scientific community. PhyloFacts includes pre-calculated phylogenies for over 56K protein families and structural domains, with over 1.4M hidden Markov models for classification of new sequences to functional families and subfamilies. PhyloFacts is available at the following URL. http://phylogenomics.berkeley.edu/phylofacts/. |