(W 8) PDCLifeS
Parallel and Distribuited Computing for Life Sciences: Algorithms, Methodologies, and Tools
Date
Tuesday 27.08.2019, 09:00 - 12:30
Location
Heyne-Haus, Papendiek 16, 37073 Göttingen, Room 1/left ► Map
Scope
Advancements 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 world-real problems requires a multidisciplinary approach and poses new challenges to the field of High-Performance Computing (HPC) at different levels:
- modeling and simulation of complex phenomena (human organ functions, evolution of diseases, sustainable energy systems, etc.)
- processing and analysis of massive amounts of data produced by modern technologies (omics and genome sequencing, functional and anatomical imaging, High-Content Screening, etc.)
- extracting, merging and understanding of information from different sources (merging different types of images, bridging imaging and omics data, etc.)
- storage, security, and availability of datasets (in order to gather information, compare results, reproduce the experiments, etc.)
The PDCLifeS Workshop is oriented to explore the key role of HPC algorithms, methodologies and tools for solving problems related to different branches of Life Sciences (Biology, Biomedicine, Bioengineering, Ecology, etc.).
Workshop Chairs
- Laura Antonelli, Institute for High-Performance Computing and Networking, Consiglio Nazionale delle Ricerche (CNR, Rome, Italy
- Salvatore Cuomo, University of Naples "Federico II“, Naples, Italy
Agenda
09:00 -09:30
Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi and Marianna Milano
Parallel Learning of Weighted Association Rules in Human Phenotype Ontology
09:30 - 10:00
Tom Haber and Frank van Reeth
Improving the runtime performance of non-linear mixed-effects model estimation
10:00 - 10:30
Mattia Conte, Andrea Esposito, Luca Fiorillo, Carlo Annunziatella, Alfonso Corrado, Francesco Musella, Renato Sciarretta, Andrea Maria Chiariello and Simona Bianco
Hybrid Machine Learning and Polymer Physics approach to investigate 3D chromatin structure
10:30 11:00 Coffee Break
11:00 - 11:30
Rossella Arcucci, Laetitia Mottet, Cesar A Quilodran Casas, Florian Guitton, Christopher Pain and Yi-Ke Guo
Adaptive Domain Decomposition for Effective Data Assimilation
11:30 - 12:00
Sina Salimzadeh and Sara Kandulu
Application of Wavelet Transform in Teeth Segmentation of Bitewing X-Ray Images
12:30 14:00 Lunch Break
