SPECIAL TRACK

Grids for Biomedicine and Bioinformatics

CALL FOR PAPERS

Biomedicine and Bioinformatics are quickly evolving into a research field that encompasses the use of all kinds of biomedical information, from genetic and proteomic data to image data associated with particular patients in clinical settings.
Biomedical Informatics comprises the fields of Bioinformatics (e.g., genomics and proteomics) and Medical Informatics (e.g., medical image analysis), and deals with issues related to the access to information technology in medicine, the analysis of genomics data, security, interoperability and integration of data-intensive biomedical applications.

Main issues in this field are:

• Integration of multiple laboratories that collect large amounts of biomedical data (genomics, post-genomics, biomedical images and signals), so that researchers can:
  • continue to maintain their own biomedical and computing resources autonomously;
  • face effectively the growth of data they need to manage and process, exploiting recent methods such as data mining, taking into account that biomedical data are produced and stored continuously; and
  • integrate and share data and findings in a controlled manner.
• Provision of large computing power such that researchers have access to
• high performance distributed computational resouces for computationally demanding data analysis, e.g., medical image processing and simulation of medical treatment or surgery;
• large storage capacity and distributed databases for the efficient retrieval, annotation and archiving of biomedical data.

What is missing today is:

the full integration of methods and technologies to enhance all phases of biomedical informatics and health care, including research, diagnosis, prognosis, etc.;

the dissemination of such methods in the clinical practice, whenever they are developed, deployed and maintained.

The grid paradigm offers CPU and data handling capabilities and allows users and laboratories to share their facilities (computing and data storage resources, instruments, knowledge, etc.) through high bandwidth networks between dynamically formed Virtual Organizations.
Grid middleware currently offers basic services for Grid management, and application development and deployment. To face the complexity of novel, cooperative, distributed Health and Bioinformatics applications, new specialized Grid services have to be developed: in such a way Grids can be deployed to address the needs of the biomedical community.
The goal of this Conference Track is to discuss well-known and emerging biomedical data-intensive systems in the context of Grids and to analyse technologies and methodologies useful to develop such systems in these environments. In particular, this track aims at offering a high level forum for exchanging information, ideas, techniques and software on how to progress in this rapidly evolving field, in order to support the advance in scientific research education as well as industrial applications.

TOPICS OF INTEREST include, but are not limited to:

•   Grid Infrastructures for Biomedical Data Analysis and Management
  
•   Problem Solving Environments for Biomedical and Bioinformatics Applications
  
•   GRID based application in life science
  
•   Workflow application for complex analysis processes
  
•   High Throughput for in-silico virtual screening
  
•   Grid Computing Infrastructures, Middleware and Tools for Healthcare
  
•   Grid Computing Biomedical Services
  
•   Collaboration Technologies
  
•   Databases and the Grid in the Biomedical Field
  
•   Extracting Knowledge from Biomedical Data Grids
  
•   Data Grids for Bioinformatics
  
•   Grid Architectures for Interactive Biomedical Applications
  
•   Grid Architectures and Solutions for Data-Intensive Biomedical Applications
  
•   Grid-based Biomedical Informatics Interoperability
  
•   Security in Biomedical Data Grids
  
•   Semantic Grids for Multimedia Biomedical Data
  
•   Ubiquitous Access to Grid-enabled Applications in Biomedicine
  
•   High-performance Computing for Data-Centric Biomedical Applications
  
•   Grid-based Visualization of Biomedical Data
  
•   Integration of Grid-enabled Applications into Clinical Practice
  

IMPORTANT DATES

You must pre-register to have your paper published in the proceedings. If you only plan to attend and are not submitting a paper, pre-registration is still strongly encouraged. This conference is space-limited, and registration may not be available on-site.

SUBMISSION PROCEDURES FOR PAPER

No hardcopy submissions are being accepted. Electronic submissions of original technical research papers will only be accepted in PDF format. Submitted papers have to be original, containing new and original results. There are two possibilities for initially submitting a paper:

•   A full paper (6 pages). It is strongly encouraged to submit a full paper, which enables reviewers to assess it more objectively and authors to substantially improve the paper based on the review feedback. In this way, the high quality of this conference series can be adequately maintained and/or improved.
  
•   A summary (3 pages). CBMS 2007 serves also as a forum for exchanging interesting and novel results of a work in progress and in this manner provides participants with an opportunity to come up-to-date on important issues. In this way, the 3-pages summaries are also accepted in the case that a full paper can not be delivered until the deadline.
  

Call for Papers (2-page .pdf file) 

For further questions, please contact maria.mirto@unile.it