Advances in High-Performance Bioinformatics, Systems and Synthetic Biology



The computational approach to biology is dealing with an enormous availability of data and an extreme complexity in the modelling and analysis of life systems. Both these issues make the scaling-up promise of High Performance Computing 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 the use of distributed technologies, cloud computing, on-chip supercomputing, GPGPUs, low-power integrated devices and massively parallel architectures for the treatment of high-throughput data-sets (e.g. Xeon Phi implementations). Arguably, HPC will turn out to be an unifying aspect of the future integration of Bioinformatics, Systems and Synthetic Biology.


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.





Algorithms for genomics and proteomics

DNA/RNA assembly and mapping

Tools for NGS data analysis

Approaches for Structutal bioinformatics

Bio-Molecular sequence analysis

Gene identification and annotation

SNP analysis and classification

Differential gene expression analysis

Machine learning for Bioinformatics

Clustering techniques for biological data

Phylogeny reconstruction algorithms

Biological databases for big data management

Modelling and simulation of biological systems

Automated verification in Computational Biology

Virtual labs and Portals for biosystem simulations

HPC-based approaches in Synthetic Biology

DNA-based biological circuits simulations

Modelling of structural protein properties

Parallel architectures for Computational Biology

System infrastructures Biologicla Data analysis



Programme Co-chairs:


Daniele D'Agostino, IMATI-CNR, Italy, <dago[AT]ge[DOT]imati[DOT]cnr[DOT]it>


Ivan Merelli, Institute for Biomedical Technologies - National Research Council, Italy, ivan[DOT]merelli[AT]itb[DOT]cnr[DOT]it



Programme Committee:


Claudia Angelini, CNR-IAC, IT

Maurizio Drocco, Dipartimento di Informatica, Università di Torino, IT
Beretta Stefano, Università degli Studi di Milano Bicocca, IT

Sandra Gesing, University of Notre Damem US

Yuri Pirola, Università degli Studi di Milano Bicocca, IT

Fabio Tordini, Università degli studi di Torino, IT

PDP 2014      PDP 2015       PDP 2016