by Liliana Florea

The sequencing of the human and several other vertebrate genomes has created a wealth of data that need to be analyzed to identify functional elements such as genes, regulatory regions, and sequence variation in the form of single nucleotide polymorphisms or more complex differences between individuals. Analyzing the vast amount of data to gain meaningful biological insights demands methods and tools that are fast, accurate, and scalable. I will present and discuss the principles underlying a suite of tools for comparing and manipulating large-scale sequence data for the purposes of comparing and annotating genomes.