2009
DOI: 10.1007/s10723-009-9123-6
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HECTOR: Enabling Microarray Experiments over the Hellenic Grid Infrastructure

Abstract: Biologists, medical experts, biochemical engineers and researchers working on DNA microarray experiments are increasingly turning on Grid computing with the scope of leveraging the Grid's computing power, immense storage resources, and quality of service to the expedient processing of a wide range of datasets. In this paper we present a combined experience of grid application experts and bioinformatics scientists in deploying a pilot service enabling computationally efficient processing and analysis of data st… Show more

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Cited by 4 publications
(2 citation statements)
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References 25 publications
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“…Therefore, both computing models became popular in scientific applications for which a large pool of computational resources allows various computationally intensive problems to be solved. In the domain of Life sciences there are many dedicated cloud-based and grid-based tools that allow us to solve problems, such as whole genome and metagenome sequence analysis [1], gene detection [45], identification of peptide sequences from spectra in mass spectrometry [44], analysis of data from DNA microarray experiments [33], mapping nextgeneration sequence data to the human genome and other reference genomes, for use in a variety of biological analyses including SNP discovery, genotyping and personal genomics [13,57], gene sequence analysis and protein characterization [28], 3D ligand binding site comparison and similarity searching of a structural proteome [24], molecular docking [4,8], protein structure similarity searching and structural alignment [25,[50][51][52], and many others.…”
Section: Related Workmentioning
confidence: 99%
“…Therefore, both computing models became popular in scientific applications for which a large pool of computational resources allows various computationally intensive problems to be solved. In the domain of Life sciences there are many dedicated cloud-based and grid-based tools that allow us to solve problems, such as whole genome and metagenome sequence analysis [1], gene detection [45], identification of peptide sequences from spectra in mass spectrometry [44], analysis of data from DNA microarray experiments [33], mapping nextgeneration sequence data to the human genome and other reference genomes, for use in a variety of biological analyses including SNP discovery, genotyping and personal genomics [13,57], gene sequence analysis and protein characterization [28], 3D ligand binding site comparison and similarity searching of a structural proteome [24], molecular docking [4,8], protein structure similarity searching and structural alignment [25,[50][51][52], and many others.…”
Section: Related Workmentioning
confidence: 99%
“…For analysis of cDNA chips, utilizing message passing interface(MPI) technology over the hellinic Lonet infrastructure regarding distributed/parallel computing software implementation, a seminal pilot effort was the Network platform [8].Using a ASP .Net web interface for submitting both raw data and minimal information about a microarrayexperiment(MIAME) information which are stored in a distributed database a significiant improvement and speed up of the data-preprocessing task was attained GEMMA [9] is another example of such a solution, deployed over the Italian EGEE infrastructure. DNA microarray analysis using BioVLAB Microarray is a cloud computing inspired solution.RNA sequences, a cloud computing solution named Myrna [10].Calculates differential gene expression in large RNAseq datasets by using R/Bioconductor [11] for interval calculation, normalization and statistical testing.…”
Section: Introductionmentioning
confidence: 99%