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Call for Papers of the Emerging Computational Methods for the Life Sciences
Workshop at HPDC 2010

June 21-25, 2010 Chicago, Illinois, USA
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This is opportunity for full length papers (or if you prefer 4 page short papers)at a premier distributed systems conference

Submission deadline Extended: March 15, 2010
Workshop Website: http://salsahpc.indiana.edu/ECMLS2010/


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)


* Application of Information Theory in life sciences
* Applications of GPU and Multicore architectures
* Applications of cloud computing
* Architectures and data management techniques for the life sciences
* Bio Statistics and its application in biology
* Bioinformatics databases
* Biological Data Mining
* Biological Data Visualization
* Biological Databases & Data Integration
* Biological Informatics and Computing
* Biomedical Databases & Information Systems
* Biomedical Imagery
* Biomedical Intelligence and Data Warehousing
* Comparison and alignment methods
* Complex Systems and Biocomplexity
* Computational Biomodeling
* Computational Drug Discovery
* Computational genomics and proteomics
* Computational Systems Biology
* Data Deluge in Biology
* Dimension Reduction
* Genetic Algorithms
* Grid Computing and Grid technologies for the life sciences
* Grid, Cluster and Internet Computing
* High Performance Bio-Computing
* Knowledge Discovering techniques and Data Mining
* Life sciences ontologies
* MapReduce and its enhancements applied to life sciences
* Many Task Computing and Life Sciences
* Multimedia Biomedical Databases and Biomedical Knowledge Discovery
* Parallel algorithms for biological analysis
* Parallel architectures for biological applications
* Parallel Stochastic simulation
* Parallel visualization algorithms
* Semantic web for  the life sciences
* Multiple Sequence Alignment
* System tools that support large scale high-performance bio-computing
* Text Mining, Information Extraction, and Language Processing
* Web-mining of Biological data


    Program Chairs

Ian Foster  <foster@mcs.anl.gov>  University of Chicago, USA
Geoffrey Fox  <gcf@indiana.edu>  Indiana University, USA
Judy Qiu <xqiu@indiana.edu>  Indiana University, USA



    Program Committee



Dimitris Agrafiotis 	Johnson & Johnson Pharmaceutical R&D, USA
José Fortes 		University of Florida, USA
Chris Johnson 		University of Utah, USA
Sun Kim 		Indiana University, USA
Eugene Kolker 		Seattle Children's Hospital, USA
Michael Lajiness 	Eli Lilly and Company, USA
Valerio Pascucci 	University of Utah, USA
Rick Stevens 		University of Chicago, USA
Haixu Tang 		Indiana University, USA
Kristin Tolle 		Microsoft, USA
David Wild 		Indiana University, USA

    Important Dates

Papers Submission Due:  March 15, 2010
Author Notifications: March 30, 2010
Final manuscripts: April 23, 2010


    Submission Guidelines

The papers should be prepared using the ACM proceedings style and no longer than
12 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.


    Publication of Papers

Full and short papers accepted for emerging computational methods for the life
sciences workshop 2010 will be published by the HPDC 2010 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.




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