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Gnare: Automated System For High-Throughput Genome Analysis With Grid Computational Backend.

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Title: Gnare: Automated System For High-Throughput Genome Analysis With Grid Computational Backend.
Authors: Dinanath Sulakhe, Alex Rodriguez, Mark D'Souza, Michael Wilde, Veronika Nefedova, Ian Foster, Natalia Maltsev
Source: Journal of Clinical Monitoring & Computing; Oct2005, Vol. 19 Issue 4/5, p361-369, 9p
Abstract: Recent progress in genomics and experimental biology has brought exponential growth of the biological information available for computational analysis in public genomics databases. However, applying the potentially enormous scientific value of this information to the understanding of biological systems requires computing and data storage technology of an unprecedented scale. The Grid, with its aggregated and distributed computational and storage infrastructure, offers an ideal platform for high-throughput bioinformatics analysis. To leverage this we have developed the Genome Analysis Research Environment (GNARE) – a scalable computational system for the high-throughput analysis of genomes, which provides an integrated database and computational backend for data-driven bioinformatics applications. GNARE efficiently automates the major steps of genome analysis including acquisition of data from multiple genomic databases; data analysis by a diverse set of bioinformatics tools; and storage of results and annotations. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:Recent progress in genomics and experimental biology has brought exponential growth of the biological information available for computational analysis in public genomics databases. However, applying the potentially enormous scientific value of this information to the understanding of biological systems requires computing and data storage technology of an unprecedented scale. The Grid, with its aggregated and distributed computational and storage infrastructure, offers an ideal platform for high-throughput bioinformatics analysis. To leverage this we have developed the Genome Analysis Research Environment (GNARE) – a scalable computational system for the high-throughput analysis of genomes, which provides an integrated database and computational backend for data-driven bioinformatics applications. GNARE efficiently automates the major steps of genome analysis including acquisition of data from multiple genomic databases; data analysis by a diverse set of bioinformatics tools; and storage of results and annotations. [ABSTRACT FROM AUTHOR]
ISSN:13871307