[hpc-announce] HiCOMB 2014 - First Call for Papers

albamm at cic.unb.br albamm at cic.unb.br
Mon Aug 12 08:16:04 CDT 2013


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CALL FOR PAPERS - HiCOMB 2014
13th IEEE International Workshop on High Performance Computational Biology
(In conjunction with the International Parallel and Distributed  
Processing Symposium - IPDPS)
http://www.hicomb.org/
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Monday, May 19, 2014
Phoenix, Arizona, USA

High-performance computing became an integral part of research and  
development in bioinformatics and computational biology. The large  
size of biological data sets, inherent complexity of biological  
problems and the ability to deal with error-prone data, all result in  
large run-time and memory requirements. The goal of this workshop is  
to provide a forum for discussion of latest research in developing  
high-performance computing solutions to data-intensive and  
compute-intensive problems arising from molecular biology and related  
life sciences areas. We are especially interested in parallel and  
distributed algorithms, memory-efficient algorithms, large scale data  
mining techniques, including approaches for big data and cloud  
computing, algorithms on multicores and GPUs, and design of  
high-performance software for biological applications.

The workshop will feature contributed papers as well as invited talks  
from reputed researchers in the field. Topics of interest include but  
are not limited to:
      - Bioinformatic databases
      - Computational genomics and metagenomics
      - Computational proteomics and metaproteomics
      - DNA assembly, clustering, and mapping
      - Gene expression analysis with RNASeq and microarrays
      - Gene identification and annotation
      - Parallel algorithms for biological sequence analysis
      - Parallel architectures for biological applications
      - Molecular evolution and phylogenetic reconstruction algorithms
      - Protein structure prediction and modeling
      - Next Generation sequence data analysis
      - Parallel algorithms in chemical genetics and chemical informatics
      - High performance algorithms for systems biology
      - Cloud-enabled solutions for computational biology
      - Big Data Solutions for Systems Biology
      - Energy-aware High Performance Biological Applications

Submission guidelines
Papers reporting on original research (both theoretical and  
experimental) in all areas of bioinformatics and computational biology  
are sought. Surveys of important recent results and directions are  
also welcome. The submission portal will be available in September.  
Submitted manuscripts may not exceed ten (10) single-spaced  
double-column pages using 10-point size font on 8.5x11 inch pages  
(IEEE conference style), including figures, tables, and references  
(see IPDPS Call for Papers for more details). All papers will be  
reviewed. IEEE CS Press will publish the IPDPS symposium and workshop  
abstracts as a printed volume. The complete symposium and workshop  
proceedings will also be published by IEEE CS Press on CD-ROM and will  
also be available in the IEEE Digital Library.

Important Dates
Workshop papers due: January 3rd, 2014
Authors notification: February 21st, 2014
Camera-ready papers due: March 14th, 2014

Workshop Co-Chairs
Srinivas Aluru
College of Computing
Georgia Institute of Technology
Atlanta, GA 30332, USA
Phone: +1 404 385-1486
Email: aluru [at] cc.gatech.edu

David A. Bader
College of Computing
Georgia Institute of Technology
Atlanta, GA 30332, USA
Phone: +1 404 894-3152
Email: bader [at] cc.gatech.edu

Program Chair
Alba Cristina Magalhaes Alves de Melo
Department of Computer Science
University of Brasilia, Brazil
Brasilia-DF, 70910-900, Brazil
Phone: +55 61 31073662
Email: albamm [at] cic.unb.br

Program Committee
- Mario Cannataro, University Magna Graecia of Catanzaro, Italy
- Umit Catalyurek, Ohio State University, USA
- Mark Clement, Brigham Young University, USA
- Wu-Chun Feng, Virginia Tech, USA
- Ananth Kalyanaraman, Washington State University, USA
- Marta Kasprsak, Poznan Institute of Technology, Poland
- Marta Mattoso, Federal University of Rio de Janeiro, Brazil
- Folker Meyer, Argonne National Laboratory, USA
- Bertil Schmidt, Johannes Gutenberg University Mainz, Germany
- Quinn Snell, Brigham Young University, USA
- Alexandros Stamatakis, HITS gGmbH, Germany
- Michela Taufer, University of Delaware, USA
- James Taylor, Emory University, USA
- Denis Trystram, Grenoble Institute of Technology, France
- Yoshiki Yamaguchi, University of Tsukuba, Japan
- Jaroslaw Zola, Rutgers University, USA
.



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