Advances in High-Performance Bioinformatics

and Biomedicine

The computational approach to biology and biomedicine is dealing with an enormous availability of high throughput data and an extreme complexity in the analysis of life systems. Both these issues make the scaling-up promise of High Performance Computing (HPC) extremely appealing. Currently, the possibility of parallelising algorithms and analysis techniques exploiting the various HPC emerging frameworks is receiving a lot of interest. Examples include the porting of legacy applications to clusters, e.g. those for genome analysis and assembly, and the use of distributed technologies, cloud computing, on-chip supercomputing, GPGPUs, and massively parallel architectures for the treatment of high-throughput data-sets. HPC frameworks is becoming particular relevant in biomedicine to speed-up the analysis of tumor molecular profiling data allowing researchers to better characterize the principles of tumor evolution across cancer types.
The aim of this special session is to present the latest efforts in HP Computational Biology and to foster the integration of researchers interested in HPC and Computational Biology.
Negotiations are ongoing for the publication of a Supplement of BMC Bioinformatics with full articles dedicated to the subjects presented at the conference.

Important Dates:

Paper submission: 3rd Nov 2017
Acceptance notification: 1st Dic 2017
Camera ready due: 22nd Dic 2017
Conference: 21st - 23rd Mar 2018


  • Algorithms for genomics and proteomics
  • DNA assembly and mapping
  • Sequence analysis
  • SNP analysis and classification
  • Expression analysis and clustering techniques
  • Phylogeny reconstruction algorithms
  • Biological databases for big data management
  • Virtual labs and experiments
  • Parallel architectures for Computational Biology
  • System infrastructure for high throughput analysis
  • Algorithms and models for cancer evolution
  • Approaches to cancer clones identification

Programme Co-chairs:

Marco Beccuti, University of Turin, Italy

Francesca Cordero, University of Turin, Italy

Programme Committee:

Ernesto Picardi, University of Bari

Paolo Ballarini, Ecole Centrale de Paris

Claudia Misale, IBM New York

Fabio Vandin, Univeirsity of Padua

Giuse' Lo Bosco, University of Palermo

Mitra Purandare, IBM Zurich

Sandra Gesing, University of Notre Dame

Alberto Policriti, University of Udine

Luciano Milanesi, CNR Milan

Horacio Pérez-Sánchez, Universidad Católica de Murcia

Maurizio Drocco, University of Turin

Fabio Tordini, University of Turin

Giulio Ferrero, University of Turin


Dr. Marco Beccuti
Dept. of Computer Science
Università degli Studi di Torino

Dr. Francesca Cordero
Dept. of Computer Science
Università degli Studi di Torino