Applied RNA Seq Summit for Drug Discovery & Development is organized by Hanson Wade and will be held during Apr 24 - 26, 2018 at The Meridien San Francisco, San Francisco, California, United States of America.
Conference Objectives are :
This Conference provides a vital forum for practitioners to come up to speed with the latest advances in RNA-Seq technologies and analytical tools, as well as help devise solutions to key challenges surrounding drug development and clinical applications of RNA-Seq.
Harness the next generation of RNA-Seq methods to find the signal amongst the noise when overcoming the analytical and processing challenges of RNA-Seq data. Deepen your understanding of disease biology through optimized application of RNA-Seq methods, and improve your drug discovery, biomarker and clinical applications as RNA-Seq storms into the clinic. This year's agenda has been designed specifically for the RNA-Seq community by fore-thinkers in the industry with a greater focus on single-cell RNA-Seq, bioinformatics approaches and the clinical applications of RNA-Seq.
What's new to RNA-Seq 2018?
• Discover how BMS are carrying out integrated analysis by co-extraction of RNA, DNA and protein from FFPE Tumour samples.
• Gain new insights into RNA-Seq for the study of viral transcripts, data visualization, gene fusion identification and more from companies such as Genetech, GSK, BMS, Merck, The Mayo Clinic and UCSC Genome Browser.
• Explore new solutions to:
? Roadblocks in applying single cell and other emerging RNA sequencing technologies in the clinic.
? Accurately interpreting the vast amounts of data in unpicking the complexity of the transcriptome.
? Integrating and mining of RNA-Seq data for drug discovery research.
? Novel and innovative RNA-Seq methods to understand the impact of tissue composition and cellular interactions.
Conference Objectives are :
• Understand how to effectively develop RNA-Seq technologies into clinically applicable tools.
• Learn how to leverage single-cell RNA-Seq as a rapid and comprehensive method for target validation and disease understanding.
• Engage in debate with bioinformaticians and biologists to streamline the RNA-Seq process from the bench to the computer.
• Harness the full potential of single-cell RNA-Seq to revolutionize the way we approach disease research.
• Develop analytical strategies to accurately interpret the vast complexity of the transcriptome and efficiently source the most valuable information.
• Learn how to optimise data visualization in your RNA sequencing work.
Additional details will be posted as soon as they are available.