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Database management techniques using distributed processing services have evolved to address the issues of distributed, heterogeneous data collections held across dynamic, virtual organisations [1-3]. These techniques, originally developed for data grids in domains such as high-energy particle physics [4], have been adapted to make use of the emerging cloud infrastructures [5].
OGSA–DAI provides a framework for sharing and managing distributed data. OGSA–DAI is highly customizable and can be used to manage, share and process distributed data (e.g. relational, XML, files and RDF triples). It does this by executing workflows that can encapsulate complex distributed data management scenarios in which data from one or more sources can be accessed, updated, combined and transformed...
The statistical language R and its Bioconductor package are favoured by many biostatisticians for processing microarray data. The amount of data produced by some analyses has reached the limits of many common bioinformatics computing infrastructures. High Performance Computing systems offer a solution to this issue. The Simple Parallel R Interface (SPRINT) is a package that provides biostatisticians...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.