SISTA Colloquium Series
|Date||Monday, October 24, 2011|
|Details||Light refreshments in Gould-Simpson 9th floor atrium before talk.|
|Speaker||Eric Lyons, Researcher/Senior Scientific Developer|
|School/Dept.||Bio5 Institute, iPlant Collaborative|
|Affiliation||University of Arizona|
Big Data! Computational Challenges In Analyzing and Exploring Genomic Data
Currently, there are genome sequences available for over 10,000 organisms, with new ones being sequenced at an exponential rate. This is being fueled by new genome sequencing technology that provides the means to sequence the genome of any organism on the planet. The evolutionary dynamics of genomes are as varied as the organisms in which they are contained, creating a demand for computational software and systems to store, query, analyze, compare, visualize, iterate, and collaborate on these large sets of data. One step towards managing the entire lifecycle of genome data is the comparative genomics platform CoGe. CoGe maintains a repository of all
publicly available genomes (in any state of assembly and annotation), and its suite of interconnected analytical and visualization tools allows researchers anywhere in the world to rapidly understand genome structure and evolution from the level of a gene to the genome. CoGe\\\'s suite of 20+ web-based tools provides easy access to genomic data for exploration and comparative genomics. This talk focuses on the results from CoGe\\\'s tools for accessing, analyzing, comparing, and visualizing genomes using examples from several domains of life (plants, animals, bacteria, and viruses). However, with each new solution that CoGe brings to understanding the structure, dynamics, and evolution of genomes comes the next set of computational challenges. These problems will be highlighted throughout the talk and open discussion of them is encouraged.
CoGe is publicly available at http://genomevolution.org and tutorials showing examples of using CoGe are available at http://genomevolution.org/wiki/index.php/Tutorials.
Current CoGe Statistics:
Genomic Features: 79,000,000