RNA-Seq 2013

Organization: Hanson Wade

Venue: Sheraton Boston Hotel

Location: Boston, Massachusetts, United States

Event Date/Time: Jun 18, 2013 End Date/Time: Jun 20, 2013
Report as Spam



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

Attending RNA-Seq 2013 will arm you with the knowledge and skills you need tooptimize 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 toenhance 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 validationthrough streamlined techniques data application and integration techniques 
Interactive Master Class Workshops

Get your specific challenges solved during the  and get a head start on the learning and networking by meeting people applying or looking to apply RNA-Seq. 

Workshop A is hosted by NIH and gives you the most recent, interactive update on combining gene models into a single set. Leave with a detailed understanding of how you can use annotation pipelines and interpret the result.

During Workshop Bthe Broad Institute will describe how to leverage RNA-Seq data for transcript analysis for genome-based and genome-free studies. You will come back to the lab with a hands-on understanding of how different software tools can be applied to next-gen transcriptome data

At Workshop C, led by NYU School of Medicine you will discover novel biomedical applications of RNA-Seq, and specifically what are the best and most suitable computational quality control methods for your particular project

Who is it for?

At RNA-Seq 2013, experience the power of collaboration.  Build relationships with industry peers and future clients by meeting all of the key stakeholders working with RNA-Seq. This means it’s for: 

  • Pharma and biotech companies looking to better understand how to overcome current barriers in the methodology and application of RNA-Seq, and optimize current NGS strategy
  • Universities and genome 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 RNA sequencing space.


39 Dalton Street
United States


Hanson Wade