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COMPBIO2013 - Special Issue on Distributed, Parallel, and GPU-accelerated Approaches to Computational Biology

COMPBIO2013
http://www.cc-pe.net/journalinfo/issues/2013.html

The aim of this special issue is to present the latest efforts for bioinformatics applications development that can be exploited in computational biology. We are especially interested in parallel implementations of algorithms and systems, use case descriptions of distributed open access platforms for the bioinformatics community, or successful experiences of large-scale analysis and simulations in the field of computational biology. Topics of interest include, but are not limited to:

  • Large scale infrastructures for high-performance bio-computing
  • Parallel architectures for bioinformatics applications
  • Science gateways for computational biological analyses
  • Techniques for biological databases access and integration
  • Parallel algorithms for genomics, transcriptomics, and proteomics
  • Methods for systems biology network reconstruction, analysis, and simulations
  • Algorithms for DNA assembly, sequence clustering, and reads mapping
  • Machine learning approaches for SNP analysis and classification
  • Gene expression and tissue microarray high-throughput platforms
  • Structural approaches for protein modeling and interactions prediction
  • Novel approaches to molecular dynamics simulation acceleration
  • Large scale in silico ligand discovery and drug design projects

The submitted papers must be original, neither published anywhere else nor under any simultaneous consideration in any other venue. Extended contributions with respect to conference proceedings are allowed. In this case they must have at least 30% difference from the original works and a clear identification of the original contributions.

Manuscript Due *February 11, 2013*
First Decision Date *March 25, 2013*
Revision Due *May 6, 2013*
Final Decision Date *June 10, 2013*
Final Paper Due *July 15, 2013*
Publication Date *3rd Quarter, 2013 (Tentative)*

Detail call for papers can be found at
http://www.cc-pe.net/journalinfo/documents/COMPBIO2013.pdf

Cite WeNMR/WestLife

 
Usage of the WeNMR/WestLife portals should be acknowledged in any publication:
 
"The FP7 WeNMR (project# 261572) and H2020 West-Life (project# 675858) European e-Infrastructure projects are acknowledged for the use of their web portals, which make use of the EGI infrastructure and DIRAC4EGI service with the dedicated support of CESNET-MetaCloud, INFN-PADOVA, NCG-INGRID-PT, RAL-LCG2, TW-NCHC, SURFsara and NIKHEF, and the additional support of the national GRID Initiatives of Belgium, France, Italy, Germany, the Netherlands, Poland, Portugal, Spain, UK, South Africa, Malaysia, Taiwan and the US Open Science Grid."
 
And the following article describing the WeNMR portals should be cited:
Wassenaar et al. (2012). WeNMR: Structural Biology on the Grid.J. Grid. Comp., 10:743-767.

EGI-approved

The WeNMR Virtual Research Community has been the first to be officially recognized by the EGI.

European Union

WeNMR is an e-Infrastructure project funded under the 7th framework of the EU. Contract no. 261572

WestLife, the follow up project of WeNMR is a Virtual Research Environment e-Infrastructure project funded under Horizon 2020. Contract no. 675858

West-Life