International audienceWith the growth of computational power and storage demand from bioinformatics applications, cluster computing has emerged as a good answer. Bioinformatics applications are often structured as workflows that are composed of a set of operations to perform on large data sets. These workflows are deployed as complex script that handles the sequence of program calls with their relevant inputs and try to take advantage of a computer cluster using a scheduler. Their performance rely on the user ability to analyze the potential parallelism in the workflow. SLICEE (Service Layer for Intensive Computation Execution Environment) proposes to abstract the calls to the cluster scheduler by handling command submission and data manage...
<p>Cluster Flow is a pipelining tool to automate and standardise bioinformatics analyses on high-per...
gCube is a service-based framework for eScience applications requiring collaboratory, on-demand, and...
The availability of a comprehensive software infrastructure is essential for the success of a parall...
International audienceWith the growth of computational power and storage demand from bioinformatics ...
International audienceBioinformatics applications are often structured as workflows that are compose...
Abstract. The paper presents design, implementation details and simulations of scientic workows invo...
New high throughput experimental techniques have turned the life sciences into a data-intensive fiel...
<p><em>clubber</em> is our automated cluster-load balancing system developed for optimizing these “b...
We describe the ProGenGrid (Proteomics and Genomics Grid) Workflow system, developed by the CACT/ISU...
présenté par N. Jacq, transparentsGrids open exciting perspectives to address many of the challenges...
The fast growth of data produced by modern biomedical studies and the related increasing demand for ...
Abstract—Bioinformatics researches use applications that require large computational capabilities re...
Rationale: Many different tools exist for development of scientific computing applications. Most of ...
MOTIVATION: Due to the steadily growing computational demands in bioinformatics and related scientif...
Background - Modern omics research involves the application of high-throughput technologies that gen...
<p>Cluster Flow is a pipelining tool to automate and standardise bioinformatics analyses on high-per...
gCube is a service-based framework for eScience applications requiring collaboratory, on-demand, and...
The availability of a comprehensive software infrastructure is essential for the success of a parall...
International audienceWith the growth of computational power and storage demand from bioinformatics ...
International audienceBioinformatics applications are often structured as workflows that are compose...
Abstract. The paper presents design, implementation details and simulations of scientic workows invo...
New high throughput experimental techniques have turned the life sciences into a data-intensive fiel...
<p><em>clubber</em> is our automated cluster-load balancing system developed for optimizing these “b...
We describe the ProGenGrid (Proteomics and Genomics Grid) Workflow system, developed by the CACT/ISU...
présenté par N. Jacq, transparentsGrids open exciting perspectives to address many of the challenges...
The fast growth of data produced by modern biomedical studies and the related increasing demand for ...
Abstract—Bioinformatics researches use applications that require large computational capabilities re...
Rationale: Many different tools exist for development of scientific computing applications. Most of ...
MOTIVATION: Due to the steadily growing computational demands in bioinformatics and related scientif...
Background - Modern omics research involves the application of high-throughput technologies that gen...
<p>Cluster Flow is a pipelining tool to automate and standardise bioinformatics analyses on high-per...
gCube is a service-based framework for eScience applications requiring collaboratory, on-demand, and...
The availability of a comprehensive software infrastructure is essential for the success of a parall...