Submission deadline: February 15, 2011

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 University of Chicago, USA
    Judy Qiu Indiana University, USA
    Ronald Taylor Pacific Northwest National Laboratory, USA





        Steering Committee


    Geoffrey Fox Indiana University, USA
    Tony Hey Microsoft, USA
    Chris Johnson University of Utah, USA

        Program Committee


    David Wild Indiana University, USA
    Eric Gifford Pfizer, USA
    Folker Meyer Argonne National Laboratory, USA
    Haixu Tang Indiana University, USA
    Harry Richards University of Tennessee, USA
    Jill Mesirov Broad Institute, MIT, USA
    Marty Humphrey University of Virginia, USA
    Michael Lajiness Eli Lilly and Company, USA
    Olga Vitek Purdue University, USA
    Scott Emerich University of Notre Dame, USA
    Simon Mercer Microsoft, USA
    Valerio Pascucci University of Utah, USA
    Shantenu Jha Louisiana State University, USA
    Sun Kim Indiana University, USA

        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.

    Please submit your paper to the ECMLS 2011 submission server via an EasyChair account.

        Publication of Papers

    Full and short papers accepted for emerging computational methods for the life sciences workshop 2010 will be published by the HPDC 2011 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.