Title
Identification of Promoters and First Exons in the Human Genome by Discriminant Analysis
Speaker
Ramana Davuluri, Division of Human Cancer Genetics, The Ohio State University
Abstract
Identification of promoters and first exons has been one of the most difficult problems in gene-finding. Here we present a set of discriminant functions that can recognize structural and compositional features such as CpG islands, promoter regions, and first donor sites. We explain the implementation of the discriminant functions into a decision tree that constitutes a new program called FirstEF. We use different models to predict CpG-related and non-CpG-related first exons. We show, by cross-validation, that the program could predict 86 percent of the first exons with 17 percent false positives. We also demonstrate its prediction accuracy on the genome level by applying it to the finished sequences of human chromosomes 21 and 22, and by comparing the predictions with the locations of the experimentally verified first exons. Finally, we present the analysis of the predicted first exons along with the nearest CpG island for all of the 24 chromosomes of the human genome.
Meet the speaker in Room 212 Cockins Hall at 4:30 p.m. Refreshments will be served.
