BigLS - Big Data in Life Sciences

The ever-growing volume and diversity of biological and biomedical data collections continues to pose new challenges and increasing demands on computing and data management. The inherent complexity of this Big Data forces us to rethink how we collect, store, combine and analyze it. BigLS, pronounced "Beagles", is a workshop dedicated to the broad theme of Big Data in life sciences. The goal of the workshop is to bring together leading researchers and practitioners working on a diverse range of Big Data problems relating to biology and medicine, and engage them in a discussion about current Big Data problems, the state of computational tools and analytics, the challenges and the future trends within life sciences. In this context, the workshop focus is on, yet is not limited to, the following broad themes:

-> Scalable algorithms and techniques for Big Data analytics in molecular biology

-> Statistical and integrative approaches to Big Data biology and informatics

-> High performance computing methods and software for Big Data biology

-> Scientific workflows and platforms for Big Data in life sciences

-> Software and hardware solutions for managing Big Data in biomedical informatics