HICOMB 2014 - 13th IEEE International Workshop on High Performance Computational Biology

Website http://www.hicomb.org/ | Edit Freely

Category parallel and distributed computing; genomics and proteomics; sequence analysis & microarrays; bioinfomatic databases & big data;

Deadline: January 03, 2014 | Date: May 19, 2014

Venue/Country: Phoenix, Arizona, USA, U.S.A

Updated: 2013-08-09 17:40:50 (GMT+9)

Call For Papers - CFP

13th IEEE International Workshop on High Performance Computational

Biology (In conjunction with the International Parallel and

Distributed Processing Symposium - IPDPS)

http://www.hicomb.org/

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 David A. Bader

College of Computing College of Computing

Georgia Institute of Technology Georgia Institute of Technology

Atlanta, GA 30332, USA Atlanta, GA 30332, USA

Phones: +1 404 385-1486 +1 404 385-0004

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