Workshop on Parallel and Distributed Computing for Life Sciences: Algorithms, Methodologies and Tools (PDCLifeS)

摘要

Advances in Life Sciences are largely driven by the development of powerful technologies and computational tools. Applications range from drug discovery and personalized medical therapies to improved agricultural and green energy production. However, the solution of real-world problems requires a multidisciplinary approach and poses new challenges in the field of High Performance Computing (HPC) at different levels: 1. The modeling and simulation of complex phenomena (human organ functions, evolution of diseases, sustainable energy systems, etc.) 2. The processing and analysis of massive amounts of data produced by modern technologies (omics and genome sequencing, functional and anatomical imaging, High-Content Screening, etc.) 3. The extracting, merging, and understanding of information from different sources (merging different types of images, bridging imaging and omics features, etc.) 4. The storage, security, and availability of datasets (in order to gather information, compare results, reproduce experiments, etc.)