Certain sciences such as physics, chemistry or biology, have a strong computational aspect and use computing infrastructures to advance their scientific goals. Often, high performance and/or high throughput computing infrastructures such as clusters and computational Grids are applied to satisfy computational needs. In addition, these sciences are sometimes characterised by scientific collaborations requiring resource sharing which is typically provided by Grid approaches. In this article, I discuss Grid computing approaches in High Energy Physics as well as in bioinformatics and highlight some of my experience in both scientific domains
Computational science complements theory and experiments. It can deliver knowledge and understanding...
The post-genomic era is characterized by large amount of data available from sequencing projects. Th...
Grid computing is applying the resources of many computers in a network to a single problem at the s...
Grid Computing is a high performance computing infrastructure with large-scale pooling of resources ...
Abstract. The potential for Grid technologies in applied bioinformatics is largely unexplored. We ha...
Modern biology has become a science of informa-tion, analysis and prediction, coalescing into compu-...
Abstract Background Grid computing has great potential to become a standard cyberinfrastructure for ...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
This article surveys relevant present and promising future methods for scientific computing. General...
Certain bioinformatics research, such as sequence alignment, alternative splicing, protein function/...
The Grid has the prospective to essentially change the way science and engineering are done. Aggrega...
présenté par N. Jacq, transparentsGrids open exciting perspectives to address many of the challenges...
Motivation: Biologists and chemists are facing problems of high computational complexity that requir...
This is an open-access article.-- et al.With the increasingly rapid growth of data in life sciences ...
"Some of today's large-scale scientific activities - modelling climate change, Earth observation, st...
Computational science complements theory and experiments. It can deliver knowledge and understanding...
The post-genomic era is characterized by large amount of data available from sequencing projects. Th...
Grid computing is applying the resources of many computers in a network to a single problem at the s...
Grid Computing is a high performance computing infrastructure with large-scale pooling of resources ...
Abstract. The potential for Grid technologies in applied bioinformatics is largely unexplored. We ha...
Modern biology has become a science of informa-tion, analysis and prediction, coalescing into compu-...
Abstract Background Grid computing has great potential to become a standard cyberinfrastructure for ...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
This article surveys relevant present and promising future methods for scientific computing. General...
Certain bioinformatics research, such as sequence alignment, alternative splicing, protein function/...
The Grid has the prospective to essentially change the way science and engineering are done. Aggrega...
présenté par N. Jacq, transparentsGrids open exciting perspectives to address many of the challenges...
Motivation: Biologists and chemists are facing problems of high computational complexity that requir...
This is an open-access article.-- et al.With the increasingly rapid growth of data in life sciences ...
"Some of today's large-scale scientific activities - modelling climate change, Earth observation, st...
Computational science complements theory and experiments. It can deliver knowledge and understanding...
The post-genomic era is characterized by large amount of data available from sequencing projects. Th...
Grid computing is applying the resources of many computers in a network to a single problem at the s...