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CFP: Special Issue FGCS on Life Science Grids for Biomedicine and Bioinformatics

From: Maria Mirto <maria.mirto@unile.it>
Date: Tue, 25 Oct 2005 17:55:07 +0200 (CEST)
Message-ID: <3458.193.204.74.230.1130255707.squirrel@webmail2.unile.it>
To: mailing_list@org.it

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* Call for papers for the Special issue                                 *
*                                                                       *
* Life Science Grids for Biomedicine and Bioinformatics                 *
*                                                                       *
* Future Generation Computer System                                     *
* Elsevier                                                              *
* http://www.elsevier.com/inca/publications/misc/lifesciencegrid05.doc  *
*                                                                       *
*************************************************************************


IMPORTANT DATES
Submission for manuscripts:                December 15, 2005
Acceptance notification:                January 28, 2006
Due date of revised manuscripts:         February 28, 2006
Approximate date of publication:         Spring, 2006



Purpose of the Special Issue
----------------------------

Omics technologies (genomics - DNA, transcriptomics - RNA, proteomics -
protein, metabolomics - metabolite and phenomics íV phenotype, etc.) and
medical informatics have changed the arena of life sciences research
forever. They allow generation of data at a large-scale, which started
with the whole-genome followed by micro-array gene-expression analysis,
mass spectrometry of proteins and metabolites, biomedical imaging
processing and health care.
Omics technologies require substantial paradigm shifts for the way life
sciences research is carried out. Biological experiments are relatively
expensive, which forces scientists to focus on advanced design for
experimentation as part of a whole-chain research approach. Furthermore,
the data generally contains information outside the scope of the original
experiment. Hence, to maximize scope of experiments, biological data needs
to be reusable, shareable and suitable for in-silico experiments. All of
this poses high demands on annotation of data and standardization of data
formats. Furthermore, the conversion of data into information and
knowledge to support scientists answering biological questions, requires
advanced analysis methods and tools that enable mining and integrating
these complex datasets. The bottlenecks for life sciences have shifted
from data generation to data storage, pre-processing, analysis, and
interpretation. The current challenge is to remove these bottlenecks by a
combination of life sciences and information technology (IT).

The effective and efficient management and use of stored data, and in
particular the transformation of these data into information and
knowledge, is thus a key requirement for success in Life Sciences, as
already has been recognized in many others sectors such as industry,
science, government.

Life Science Grids are based on the integration of emerging technologies
such as Grids, Bioinformatics, Web/Grid Services, Workflow, Semantic Web,
to support applications and research in different fields of Life Sciences,
such as Health Care, Biomedicine, Computational Chemistry. They promise to
provide reliable and secure computing infrastructures facilitating the
seamless use of distributed datasets, bioinformatics tools and systems,
data mining applications, and knowledge, building a so-called Grid Problem
Solving Environment (G-PSE), for solving complex problems in Biomedicine
and Health Care.

The scope of this special issue is to focus on challenge, applications and
services in modern Life Science Grid computing environments.
Topics of interest include, but are not limited to the following:

        - Grid solutions for Life Science applications
        - Grid infrastructures for bio data analysis
        - Parallel bio data-intensive applications
        - Grid infrastructures, middleware and tools for Life Science Grids
        - Web Services for Life Science Grids
        - Workflow for Life Science Grids
        - Semantic Grid for Life Science applications
        - Bio data analysis and management
        - Databases and the grid in biomedical field
        - Data grids for biomedicine and bioinformatics
        - Data mining of truly large and high-dimensional bio data sets
        - Security in bio data grids
        - Biology, Biochemistry and Biomedicine for Grid Environments
              - Drug Design
              - Protein Folding
              - Systems Biology
              - Genome informatics and phylogeny


Guest Editors
-------------

Giovanni Aloisio
University of Lecce, Italy
giovanni.aloisio@unile.it

Vincent Breton
CNRS/IN2P3, LPC Clermont-Ferrand, France
breton@clermont.in2p3.fr

Maria Mirto
University of Lecce, Italy
maria.mirto@unile.it

Almerico Murli
University of Naples, Italy
almerico.murli@dma.unina.it

Tony Solomonides
University of West of England, UK
Tony.Solomonides@uwe.ac.uk


Important Dates
---------------

Paper submission deadline       December 15, 2005
Notification of acceptance      January 28, 2006
Camera-ready papers             February 28, 2006
Desired publication             End of 2006



-- 
============================================================

Maria Mirto

PhD student, Center for Advanced Computational Technologies
via per Monteroni, 73100 Lecce (Le), ITALY

S.P.A.C.I. srl
ph:  +39 0832 297304
fax: +39 0832 297279
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Received on Wednesday, 26 October 2005 01:12:52 GMT

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