FastCast Webinar: Conquer RNA-seq Analytics Challenges with Pivotal and EMC Isilon
Now Available On-Demand | Duration: 30 minutes
RNA-Seq promises a comprehensive picture of the transcriptome allowing for the complete annotation and quantification of all genes and their isoforms in any given sample. However, the trade-off between speed and accuracy for analyses continues to be a barrier to for RNA-seq applications. Sarah Aerni from Pivotal Data Science Labs, and E. Sasha Paegle from EMC Isilon discuss RNA-seq data management and analysis strategies for minimizing bottlenecks during alignment, splice junction detection, and gene expression quantification.
Topics will include combining structured and unstructured data using the Pivotal Unified Analytics Platform (UAP) and Isilon, approaches to eliminating the unnecessary movement of data, and example use cases.
This webinar will evaluate: • Strategies decreasing analysis time using Pivotal and Isilon technologies • Approaches to combing structured and unstructured data • Lessons learned and best practices for RNA-seq analysis • The role of Pivotal Data Science Labs
Sarah Aerni, PhD. Senior Data Scientist, Pivotal
Sarah joined Pivotal from Stanford University where she performed interdisciplinary research at the interface of biomedicine and computer science. She focused applying machine learning methods to address a broad range of biomedical questions. Sarah also cofounded a company offering expert services in informatics for both academic and industry settings.
E. Sasha Paegle Sr. Business Development Manager - Life Sciences, Isilon Storage Division, EMC²
In his current role Sasha is responsible for EMC Isilon’s Life Science go-to-market planning, solution development, and partner engagements. Prior to EMC Isilon, he has spent over 15 years in the Life Sciences industry as a product manager of life sciences software solutions at companies such as Microsoft Health Solutions Group, Rosetta Biosoftware (Merck & Co,) and DoubleTwist.