The 3rd International Emerging Computational Methods for the Life Sciences Workshop (ECMLS)

To be held in conjunction with the 21st ACM Symposium on High-Performance Parallel and Distributed Computing conference, 18-19 June 2012, Delft, The Netherlands
(http://salsahpc.indiana.edu/ECMLS2012)

In conjunction with the 5th Special Track on Grid and Cloud Computing in Biomedicine and Life Sciences Workshop, CBMS2012
June 20-22, 2012, Rome Italy

Submission deadline: February 25, 2012
Computing systems are rapidly changing with multicore, GPUs, clusters, volunteer systems, clouds, and grids offering a confusing dazzling array of opportunities. New programming paradigms such as MapReduce and Many Task Computing have joined the traditional repertoire of workflow and parallel computing for the highest performance systems. Meanwhile the Life Sciences are continuing to expand in data generated with continuing improvement in the instruments for high throughput analysis. This “fourth paradigm” (observationally driven science) is joined by complex systems or biocomplexity that can build phenomenological models of biological systems and processes. This workshop juxtaposes these trends seeking those computational methods that will enhance scientific discovery.
The purpose of this the workshop is to provide the opportunity for researchers, scientists, engineers, and students to discuss and share the latest research in parallel and distributed high performance systems applied to Life Science problems. It aims to offer an interactive environment for investigators working on novel “computational thinking” for (Systems) Biology, Bioinformatics, Biocomplexity and Cheminformatics, so that future activities and collaborations will be initiated, as well as fostering discussions about the utilization of HPDC systems in their respective research initiatives. Selected papers will be published in a special issue of Journal Concurrency and Computation: Practice and Experience.

Topics of interests include (but not limited to)
· Applications of GPU and Multicore architectures to the life sciences
· Applications of Cloud (including MapReduce), Many Task, Grid and Parallel (High Performance) computing to the life sciences
· Performance, Algorithms, Architectures, Tools (such as workflow) and environments for the life sciences
· Data Management, Data Mining, Data Integration and Databases for the life sciences
· Data Visualization (including dimension reduction) for the life sciences
· Data Privacy and Security issues in processing and access to Life Science data
· Biocomplexity, Complex Systems, Computational Systems Biology and Computational Biomodeling
· Biostatistics, Biomedical Intelligence, Biomedical Databases & Information Systems
· Computational Life Science Applications such as Alignment, Assembly, Biomedical Imagery, Drug Discovery, Computational Genomics and Proteomics
· Text Mining, Information Extraction, and Web-mining of life science data
· Social Networking and Virtual Organization technologies for life sciences

Workshop Chairs
Carole Goble University of Manchester, UK
Judy Qiu Indiana University, USA
Ian Foster University of Chicago, USA


Steering Committee
Geoffrey Fox Indiana University, USA
Tony Hey Microsoft, USA
Rick Stevens Argonne National Laboratory
Manish Parashar Rutgers University, USA
Chris Johnson University of Utah, USA


Program Chair
Scott Emrich University of Notre Dame, USA


Program Committee Member
Giovanni Aloisio University of Salento, Italy
Peter Conveney University College London (UCL), UK
Martin Hofmann-Apitius Fraunhofer Institute for Algorithms and Scientific Computing, Germany
Shantenu Jha Rutgers University, USA
Eugene Kolker Seattle Children's Research Institute, USA
Folker Meyer Argonne National Laboratory USA
Steffen Moeller University of Rostock, Germany
Valerio Pascucci University of Utah, USA
Paolo Romano IST National Cancer Research Institute, Italy
Michael Schatz Cold Spring Harbor Laboratory, USA
Haixu Tang Indiana University, USA
Alfonso Valencia Spanish National Cancer Research Centre, Spain


Student Program Chair
Harry Richards University of Tennessee, USA


Submission Guidelines
The papers should be prepared using the ACM proceedings style and no longer than 10 pages for full papers or 4 pages for short papers. Submitted papers will be carefully evaluated based on originality, significance to workshop topics, technical soundness, and presentation quality. Submission of the paper implies that should the paper be accepted, at least one of the authors will register and present the paper at the workshop.
Please submit your paper to the ECMLS 2012 submission servervia an EasyChair account.

Publication of Papers
Full and short papers accepted for emerging computational methods for the life sciences workshop 2012 will be published by the HPDC 2012 conference proceedings by ACM in the same volume. Selected papers will be published in a special issue of Journal Concurrency and Computation: Practice and Experience.