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• W2158527924 abstract "In silico experiments necessitate the virtual organization of people, data, tools and machines. The scientific process also necessitates an awareness of the experience base, both of personal data as well as the wider context of work. The management of all these data and the co-ordination of resources to manage such virtual organizations and the data surrounding them needs significant computational infra-structure support.In this paper, we show that (my)Grid, middleware for the Semantic Grid, enables biologists to perform and manage in silico experiments, then explore and exploit the results of their experiments. We demonstrate (my)Grid in the context of a series of bioinformatics experiments focused on a 1.5 Mb region on chromosome 7 which is deleted in Williams-Beuren syndrome (WBS). Due to the highly repetitive nature of sequence flanking/in the WBS critical region (WBSCR), sequencing of the region is incomplete leaving documented gaps in the released sequence. (my)Grid was used in a series of experiments to find newly sequenced human genomic DNA clones that extended into these 'gap' regions in order to produce a complete and accurate map of the WBSCR. Once placed in this region, these DNA sequences were analysed with a battery of prediction tools in order to locate putative genes and regulatory elements possibly implicated in the disorder. Finally, any genes discovered were submitted to a range of standard bioinformatics tools for their characterization. We report how (my)Grid has been used to create workflows for these in silico experiments, run those workflows regularly and notify the biologist when new DNA and genes are discovered. The (my)Grid services collect and co-ordinate data inputs and outputs for the experiment, as well as much provenance information about the performance of experiments on WBS.The (my)Grid software is available via http://www.mygrid.org.uk" @default.
• W2158527924 created "2016-06-24" @default.
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• W2158527924 date "2004-08-04" @default.
• W2158527924 modified "2023-09-25" @default.
• W2158527924 title "Exploring Williams–Beuren syndrome using myGrid" @default.
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• W2158527924 doi "https://doi.org/10.1093/bioinformatics/bth944" @default.
• W2158527924 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15262813" @default.
• W2158527924 hasPublicationYear "2004" @default.
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