As data shifts between research, sequencing labs, and the clinic, there is an ever-increasing volume of information generated for curing or treating diseases and cancers. Bioinformatics technologies, tools and techniques play a critical role in not only storing this mountain of information, but turning it into meaningful biological applications and knowledge.
Many life science organizations and research labs use internal and external informatics resources to store sequencing data. This Symposium will cover real-world use cases across many areas, including drug discovery and design, R&D, molecular modeling, next-generation sequencing, and bioinformatics. Thought leaders will discuss the convergence of cloud computing and big data to support life sciences research.