Session 3: e-Science infrastructures
Department of Pharmaceutical Biosciences and Science
for Life Laboratory, Uppsala University, Sweden
ABSTRACT CONTENT / DETAILS:
Data sets in toxicology and pharmacology have recently increased greatly in size due to new high-throughput molecular technologies and large data resources generated and made available by international consortia.
Taking advantage of such large data in many cases requires access to e-Science infrastructure of large-scale storage and high-performance computing (HPC) for storage and analysis.
This presentation aims to highlight the challenges and opportunities for working with e-Science infrastructures, and showcases some of our latest developments for large-scale predictive modeling in toxicology and pharmacology including workflows, cloud computing and Hadoop.