Submission deadline: February 25, 2012  March 9, 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 ConveneyUniversity College London (UCL), UK
    Martin Hofmann-Apitius Fraunhofer Institute for Algorithms and Scientific Computing, Germany
    Shantenu JhaRutgers University, USA
    Eugene Kolker Seattle Children's Research Institute, USA
    Folker Meyer Argonne National Laboratory USA
    Steffen Moeller University of Rostock, Germany
    Valerio PascucciUniversity of Utah, USA
    Paolo Romano IST National Cancer Research Institute, Italy
    Michael SchatzCold Spring Harbor Laboratory, USA
    Haixu Tang Indiana University, USA
    Alfonso ValenciaSpanish 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 server via 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.