CompGen Team Develops Faster Algorithms to Analyze Genomic Associations翻了墙用什么浏览器安卓翻软件墙下载百度云如何翻国外墙
CompGen Team Develops Faster Algorithms to Analyze Genomic Associations
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Meet the 2015–2016 CompGen Fellows
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White House: Advancing U.S. Leadership in High-Performance Computing
Expanding the Biology Toolkit with Computing Power for Genomics
Illinois CompGen and Harvard Chan School review Isaac, Illumina’s variant calling workflow


The CompGen initiative seeks to combine the collective strengths of Illinois’ genomic research with its prowess in large-scale parallel systems and big data to develop new technology that enables future genomic breakthroughs.

As part of the initiative, researchers aim to build an instrument that allows scientists to manage and process genomic information and algorithm development, while providing high accuracy of results, resilience to errors, and scalability with growing volumes of data.

The new technology could enable a better understanding of the basic processes of life, illumination on how evolution works, and custom treatments for disease, among other discoveries.

CompGen will also serve as a tool for educating students and corporations in novel, efficient ways to process and analyze genomic data and to handle “big data” in general.



Congratulations to the new class of CompGen Fellows:


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Chandra Gopalakrishnappa, Department of Physics

Yunan Luo, Computer Science Department

Chris Seward, Cell and Developmental Biology

Chuanyi Zhang, Electrical and Computer Engineering

If you have questions about the fellowship or application process please contact Matt Hudson (

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