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HiCOMB 2014 : 13th IEEE International Workshop on High Performance Computational Biology


When May 19, 2014 - May 19, 2014
Where Phoenix, Arizona, USA
Submission Deadline Jan 12, 2014
Notification Due Feb 21, 2014
Final Version Due Mar 14, 2014
Categories    parallel & distributed comput.   genomics and proteomics   sequence analysis & microarray   bioinfo. databases & big data

Call For Papers

13th IEEE International Workshop on High Performance Computational Biology
(In conjunction with the International Parallel and Distributed Processing Symposium - IPDPS)
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 12nd, 2014 (EXTENDED)
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
Phones: +1 404 385-1486

David A. Bader
College of Computing
Georgia Institute of Technology
Atlanta, GA 30332, USA
Phones: +1 404 894-3152

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

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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