Your comprehensive guide to applying RNA-Seq in research and drug discovery

RNA-Seq SummitAttending RNA-Seq 2013 will arm you with the knowledge and skills you need to optimize the practical application of RNA-Seq technology in your lab.

Whether you’ve been using RNA-Seq for years and feel relatively well established, or it’s a totally new addition to your research programs, this agenda has been designed for you.

  • Hear pioneering case studies on the most innovative applications of RNA-Seq so that you can return to the lab and put into operation immediately
  • Discover how to cost-effectively manage the transition from microarray to RNA-Seq and ensure the hassle-free integration of technologies and data sets
  • Leverage the latest advances in RNA-Seq technology for drug discovery and development by meeting with you’re the experts from universities, pharma and genome institutes

Enter the minds of the RNA-Seq experts from Bristol-Myers Squibb, Yale University, Merck, GenentechBroad Institute, AstraZeneca, Stanford and a whole lot more. This is the perfect opportunity to hear novel approaches to overcoming the challenges preventing you from applying RNA-Seq to its full potential in the lab.

RNA-Seq 2013 brings together RNA-Seq leaders and innovators from pharma, biotech, genome institutes and universities. Leave the meeting with…

  • An understanding of when and how to transition to RNA-Seq from microarray technology for maximum accuracy of gene expression measurement
  • A toolbox of bioinformatics solutions and the most appropriate and unified integrated approach to managing, analyzing and interpreting huge volumes of data
  • Knowledge of how an exceptional experimental design can help to enhance drug discovery to maximize the results 
  • An overview of the benefits of outsourcing to boost the time and cost efficiency of your NGS program for more streamlined applications
  • An expert’s guide to the latest and best software frameworks for de novo transcriptome assembly and analysis
  • The answers to optimizing biomarker discovery and target validation through streamlined techniques data application and integration techniques