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, 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 High
Performance Computational Biology and to foster the integration of
researchers interested in HPC and Computational Biology.
Examples of topics of interest include, but are not limited to, HPC
experiences in:
- Algorithms for genomics and proteomics
- DNA assembly and mapping
- Bio-Molecular sequence analysis
- Gene identification and annotation
- SNP analysis and classification
- Differential gene expression analysis and clustering techniques
- Phylogeny reconstruction algorithms
- Biological databases for big data management
- Modelling and simulation of biological systems
- Automated verification in Computational Biology
- Virtual labs and experiments
- HPC-based approaches in Synthetic Biology
- DNA-based biological circuits simulations
- Modelling of structural protein properties
- Parallel architectures for Computational Biology
- System infrastructure for high throughput analysis
SUBMISSION GUIDELINES
Prospective authors should submit a full paper not exceeding 8 pages
in the IEEE Conference proceedings format
www.ieee.org/conferences_
(IEEEtran, double-column, 10pt). Double-bind review: the first page of
the paper should contain only the title and abstract; in the reference
list, references to the authors' own work should appear as "omitted
for blind review" entries. Submissions can be made through the
submission web site at
https://www.easychair.org/
PUBLICATION
Proceedings will be published by IEEE Computer Society
www.computer.org/portal/web/
in the same volume as the main track. Authors of accepted papers
are expected to register and present their papers at the Conference.
Conference proceedings will be indexed, among others, by? IEEE explore,
DBLP, Scopus ScienceDirect, and ISI Web of Knowledge.?
A special issue of a international journal collecting selected papers is under consideration.
IMPORTANT DATES
Paper submission:? **1st? Sep 2013 (changed!)**
Acceptance notification: 7th Oct 2013
Camera ready due: 31st Oct 2013
Conference: 12th - 14th Feb 2014
CO-CHAIRS
Ivan Merelli, CNR-ITB, Italy
Marco Beccuti, University of Turin, Italy
Andrea Bracciali, University of Stirling, UK
PROGRAM COMMITTEE
Luca Bortolussi, University of Trieste, IT
Andrea Clematis, CNR-IMATI, IT
Daniele D'Agostino, CNR-IMATI, IT
Antonella Galizia, CNR-IMATI, IT
Sandra Gesing, University of Tuebingen, D
David Gilbert, Brunel University, UK
Monika Heiner, Brandenburg University at Cottbus, D
Luciano Milanesi, CNR-ITB, IT
Steffen M?ller, Institut f?r Neuro und Bioinformatik, D
Gethin Norman, University of Glasgow, UK
Horacio P?rez-S?nchez, University of Murcia, E
Alberto Policriti, University of Udine, IT
CONTACTS
Dr. Ivan Merelli
Institute for Biomedical Technologies
Consiglio Nazionale delle Ricerche
E-mail: ivan.merelli@itb.cnr.it
Tel: +39 02 26422600
Fax: +39 02 26422770
Dr. Marco Beccuti
Dept. of Computer Science
Universit? degli Studi di Torino
E-mail: beccuti@di.unito.it
Tel: +39 011 6706780
Fax: +39 011 751603
Dr. Andrea Bracciali
Dept. of Computing Science and Mathematics
University of Stirling
E-mail: abb@cs.stir.ac.uk
Tel: +44 (0)1786 467446
Fax: +44 (0)1786 464551
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