6 resultados para galaxy clusters
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Ponencia aceptada y defendida en la XIII Jornadas Hispano-Lusas de Gestión Científica celebradas en Lugo en febrero de 2003.
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Background: Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to partition the genes into groups exhibiting similar patterns of variation in expression level. An important problem associated with gene classification is to discern whether the clustering process can find a relevant partition as well as the identification of new genes classes. There are two key aspects to classification: the estimation of the number of clusters, and the decision as to whether a new unit (gene, tumor sample ... ) belongs to one of these previously identified clusters or to a new group. Results: ICGE is a user-friendly R package which provides many functions related to this problem: identify the number of clusters using mixed variables, usually found by applied biomedical researchers; detect whether the data have a cluster structure; identify whether a new unit belongs to one of the pre-identified clusters or to a novel group, and classify new units into the corresponding cluster. The functions in the ICGE package are accompanied by help files and easy examples to facilitate its use. Conclusions: We demonstrate the utility of ICGE by analyzing simulated and real data sets. The results show that ICGE could be very useful to a broad research community.
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538 p.
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Background: In recent years Galaxy has become a popular workflow management system in bioinformatics, due to its ease of installation, use and extension. The availability of Semantic Web-oriented tools in Galaxy, however, is limited. This is also the case for Semantic Web Services such as those provided by the SADI project, i.e. services that consume and produce RDF. Here we present SADI-Galaxy, a tool generator that deploys selected SADI Services as typical Galaxy tools. Results: SADI-Galaxy is a Galaxy tool generator: through SADI-Galaxy, any SADI-compliant service becomes a Galaxy tool that can participate in other out-standing features of Galaxy such as data storage, history, workflow creation, and publication. Galaxy can also be used to execute and combine SADI services as it does with other Galaxy tools. Finally, we have semi-automated the packing and unpacking of data into RDF such that other Galaxy tools can easily be combined with SADI services, plugging the rich SADI Semantic Web Service environment into the popular Galaxy ecosystem. Conclusions: SADI-Galaxy bridges the gap between Galaxy, an easy to use but "static" workflow system with a wide user-base, and SADI, a sophisticated, semantic, discovery-based framework for Web Services, thus benefiting both user communities.
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[ES] En el presente trabajo se ha tratado de analizar la evolución de las políticas tecnológicas y de innovación en la Comunidad Autónoma de Euskadi (CAE), en las últimas tres décadas, prestando especial atención a la política de clusters. Es evidente el avance tecnológico e innovador experimentado por Euskadi en este período, basado en la estrecha cooperación desarrollada entre las universidades, las instituciones públicas y las empresas privadas. En este marco, la CAE fue pionera en el diseño y puesta en marcha de una política de clusters a principios de los años noventa. Tras más de dos décadas de funcionamiento de dicha política, ésta parece haberse consolidado existiendo en la actualidad 13 asociaciones cluster en Euskadi.
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Artículo científico CrystEngComm
