Scientific Computing

“High Performance Computing” (HPC): development and implementation of algorithms with a high degree of parallelism.

Design, development and management of methods, tools and systems for the treatment of data flows generated by scientific equipment in biomedicine and, in general, from digital archives and sources.

Implementation on multicore, multi CPU, multi GPU architectures. Machine Learning applications and libraries, Artificial Intelligence and Bayesian networks.

The area includes a Bioinformatics Service whose goal is to offer support in the analysis of high-throughput data from different sources: genomics (whole exon-sequencing), transcriptomics (RNA-seq, targeted-sequencing), epigenomics (ChIP-seq), proteomics.

To ask for the service:

  1. preliminary contact the Scientific Computing area staff;
  2. fill out the online form 'Service Request' briefly illustrating the scientific problem;
  3. plan a meeting with the area staff to discuss methods, costs, timing etc.

Contact: Irene Ruspantini
+39 06 4990 3098