Sign for Notice Everyday    Sign Up| Sign In| Link| English|

Our Sponsors


    HIBB 2011 - Workshop on High Performance Bioinformatics and Biomedicine (HiBB)

    View: 1227

    Website europar2011.bordeaux.inria.fr | Want to Edit it Edit Freely

    Category HIBB 2011

    Deadline: June 12, 2011 | Date: August 29, 2011-September 02, 2011

    Venue/Country: Bordeaux, France

    Updated: 2011-04-01 13:41:06 (GMT+9)

    Call For Papers - CFP

    High-throughput technologies (e.g. microarray and mass spectrometry) and clinical diagnostic tools (e.g. medical imaging) are producing an increasing amount of experimental and clinical data. In such a scenario, large scale databases and bioinformatics tools are key tools for organizing and exploring biological and biomedical data with the aim to discover new knowledge in biology and medicine.

    High-performance computing may play an important role in many phases of life sciences research, from raw data management and processing, to data analysis and integration, till data exploration and visualization. In particular, at the raw data layer, Grid infrastructures may offer the huge data storage needed to store experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data.

    At an higher layer, emerging biomedical applications need to use in a coordinated way both bioinformatics tools, biological data banks and patient’s clinical data, that require seamless integration, privacy preservation and controlled sharing. Service Oriented Architectures and semantic technologies, such as ontologies, may allow the building and deployment of the so called “collaboratories”, where experimental research may be conducted by remote scientists in a collaborative way.

    The goal of HiBB is to bring together scientists in the fields of high performance computing, computational biology and medicine to discuss, among the others, the organization of large scale biological and biomedical databases and the parallel implementation of bioinformatics algorithms and biomedical applications. Furthermore, the use of novel parallel architectures and dedicated hardware to implement bioinformatics and biomedical algorithms will be discussed.

    TOPICS OF INTEREST

    The workshop is seeking original research papers presenting applications of parallel and high performance computing to biology and medicine. Topics of interest include, but are not limited to:

    Large scale biological and biomedical databases

    Data integration and ontologies in biology and medicine

    Parallel bioinformatics algorithms

    Parallel visualization and exploration of biomedical data

    Parallel visualization and analysis of biomedical images

    Computing environments for large scale collaboration

    Scientific workflows in bioinformatics and biomedicine

    (Web) Services for bioinformatics and biomedicine

    Grid Computing for bioinformatics and biomedicine

    Peer-To-Peer Computing for bioinformatics and biomedicine

    Emerging architectures and programming models (e.g. Cell, GPUs) for bioinformatics and biomedicine

    Parallel processing of bio-signals

    Modeling and simulation of complex biological processes

    PROGRAM

    The workshop will take place on August, 30th. It is scheduled as full-day.

    The program is not available yet.


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.