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High performance cDNA sequence analysis using grid technology

机译:使用网格技术的高效cDNA序列分析

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摘要

Innovative DNA sequencers, relying on pyrosequencing, are now being produced, which cut down costs and speed up sequencing by an order of magnitude. Hence the capability of handling high throughput sequencing is becoming increasingly important for Bioinformatics. This study concerns the development of a high performance pipeline for analyzing cDNA sequences produced by a high throughput pyrosequencer. Mainly, this analysis system has been developed by us to map the sequenced cDNA strands against a cDNA database for studying different mutations that can influence the genes functionality. The pipeline supports heterozygous organisms. In order to use a high throughput pyrosequencer fruitfully, the related bioinformatics analysis requires high performance. Hence we implemented our analysis system leveraging the European EGEE project infrastructure: a network of several computational resources and storage facilities distributed at different sites. The results of this high performance pipeline are stored into an output database directly from the grid sites using the Web Services technology. By querying this database it is possible to inspect the analysis results to detect different mutations in the cDNA sequences, as well as other meaningful biological parameters and information. (C) 2006 Published by Elsevier Inc.
机译:目前正在生产依靠焦磷酸测序的创新DNA测序仪,可将成本降低并加快测序速度一个数量级。因此,对于生物信息学来说,处理高通量测序的能力变得越来越重要。这项研究涉及用于分析高通量焦磷酸测序仪产生的cDNA序列的高性能流水线的开发。主要是,我们已经开发出了这种分析系统,用于将测序的cDNA链与cDNA数据库作图,以研究可影响基因功能的不同突变。该管道支持杂合生物。为了有效地使用高通量焦磷酸测序仪,相关的生物信息学分析需要高性能。因此,我们利用欧洲EGEE项目基础架构实施了我们的分析系统:由多个计算资源和存储设施分布在不同站点的网络。使用Web服务技术,该高性能管道的结果直接从网格站点存储到输出数据库中。通过查询该数据库,可以检查分析结果,以检测cDNA序列中的不同突变以及其他有意义的生物学参数和信息。 (C)2006由Elsevier Inc.出版

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