Featured Speakers

  • Will LogingDirector, Scientific Knowledge Discovery Boehringer-Ingelheim

  • Johannes FreudenbergScientific Investigator GSK

  • Kai WangAssistant Professor, Division of Bioinformatics University of Southern California

  • Yuhao LinAssociate Consultant, Informatics Capabilities Eli Lilly

Discover the next generation of sequencing technologies to help you break the bottleneck and use the data.


Whether you’ve been using NGS for years and feel relatively well established, or it’s a totally new addition to your research programs, you’ll likely be having problems with the data.

NGS Data Analysis will tackle these problems head-on. This agenda has been designed for you.

This meeting gives you access to the latest strategies to control, analyze and interpret your omic data. Discover new software tools to help efficient transfer of large data volumes. Uncover cloud solutions to manage data warehousing. Hear experts from the likes of BMS, Pfizer, GSK, Cornell University, Boehringer Ingelheim, the Broad Institute explain how they’re undertaking effective high throughput analysis of their next generation sequencing data.

  • Hear pioneering case studies on the most innovative data storage and sharing methods so that you can return to the lab and make your data manageable
  • Leverage the latest advances in data analysis tools for drug discovery and development by meeting with the experts from universities, pharma and genome institutes and evaluating the tools they use
  • Discover how you can actually apply the data and ensure the hassle-free integration of technologies and omics data sets

Discover what tools are out there. Find out how to use them. Learn how you can actually apply the data. If these three things are high up your agenda, then the NGS Data Analysis is the meeting to attend this fall.

Who is it for?

At NGS Data Analysis, experience the power of collaboration. Build relationships with industry peers and future clients by meeting all of the key stakeholders working with NGS data. This means it’s for:

Pharma and biotech companies looking to better understand how to overcome current barriers in the methodology and application of NGS, evaluate technologies and optimize current data analysis strategies

Universities and research institutions keen to see how their pioneering research is being translated into drug discovery and looking for collaborations and funding opportunities

Technology companies and software providers who can showcase their latest solutions, embrace this unrivalled opportunity to educate the market to their capabilities and make a claim for leadership in the NGS data management space.

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