W314
Knowledge Discovery and Data Mining: Dynamics of Genome’s Size and Composition

Date: Saturday, January 14, 2017
Time: 8:50 AM
Room: Golden West
Xianran Li , Iowa State University, Ames, IA
Michael Scanlon , Cornell University, Ithaca, NY
Jianming Yu , Iowa State University, Ames, IA
Vast amount of genome sequences had been produced by the society. Such rich sources offer great opportunity to discovery novel insights which are not the original purposes for generating the data. By juxtaposing hundreds of genomes, we evaluated two rudimental features of genome itself: size and composition. We uncovered common patterns for the two characteristics. The dynamics of chromosome size can be viably captured by a single model and fairly be predicted. Accompanying the size dynamics along evolution, genome tends to use more nucleotide A and T. Furthermore, our analysis suggested that chromosome size and composition are associated with chromosome territories in living cells.