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Events: NGS Data Analysis (Sponsored Content)
Submitted by J.W. Bizzaro; posted on Tuesday, September 03, 2013
Submitter October 15-17, 2013
San Francisco, CA

Transform your NGS data into tangible results with NGS Data Analysis.

If you're stuck trying to evaluate the available tools... If you're wondering what are the best methods to store and transfer your data... Or if you're simply trying to find out the latest bioinformatics strategies for analyzing and interpreting NGS data...

... NGS Data Analysis will give you the answers.

This meeting shows you the latest tools and techniques that have been developed, together with novel applications of NGS data that can be successfully integrated into your current research efforts.

At NGS Data Analysis, you will:

* Discover which tools can help you achieve your specific research goals, with pioneering case studies from pharma and academic experts applying the latest technology to their data management
* Find out the latest storage and transfer strategies for the most cost-effective, hassle-free 'Big Data' management
* Learn how to overcome your bioinformatics and computational challenges to leave you free to analyze and interpret raw data into something that you can actually use in research and the clinic

Speakers on the agenda include...

* Will Loging, Director, Bioinformatics & Computational Biology, Boehringer Ingelheim
* Deepak Rajpal, Director, Computational Biology, GSK
* Kai Wang, Assistant Professor, Division of Bioinformatics, University of Southern California
* Victor Markowitz, Senior Scientist, Department Head, Lawrence Berkeley National Lab
* Owen White, Director, Bioinformatics, University of Maryland School of Medicine
* Richard Bourgon, Bioinformatics Scientist, Genentech
* Yuhao Lin, Associate Consultant, Informatics Capabilities, Eli Lilly
* Qingqin Li, Director, Bioinformatics, Johnson & Johnson
* Mauricio Carneiro, Group Lead, Computational Technology Development, Broad Institute
* Nikos Kyrpides, Head, Microbial Genomics & Metagenomics Super Program, DOE Joint Genome Institute

Download the full brochure at [link]

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