
Area
and Scope
Researchers
in the field of Life Sciences rely increasingly on information
technology to extract and manage relevant
knowledge. The complex computational and data management
needs of life sciences research make Grid technologies
an attractive support solution. However, many important
issues must be addressed before the Life Sciences Grid
becomes commonplace. The scope of this workshop focuses
on life science applications of grid systems especially
for research from bioinformatics to systems
biology which require heterogeneous data integration
from genome
to
phenome,
mathematical modeling and simulation from molecular
to population levels, and high performance computing
including
parallel processing, special hardware and grid computing.
Topics
The program committee welcomes the submission of original
manuscripts addressing the problem of Grid Systems for Life
Sciences. Authors should report relevant experiences, present
novel approaches to existing problems and raise important
novel issues. Topics of interest include, but are not limited
to, those in the following list:
- Grid
architectures for life science
- Life
science applications on grid systems
- Computation
pipelines and workflows for life science data integration
- Ontologies
and semantic web approaches for life sciences
- Mathematical
modeling and simulation systems for life sciences
- High
performance architectures and systems for life sciences
The
LSGRID
2004 postproceedings has been published by Springer.
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