Titlebook: Data Integration in the Life Sciences; 9th International Co Christopher J. O. Baker,Greg Butler,Igor Jurisica Conference proceedings 2013 S

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,OmixAnalyzer – A Web-Based System for Management and Analysis of High-Throughput Omics Data Sets,functional enrichment, and it is capable of producing high quality figures and reports. The system builds only on open source software and is available on request as sources or as a ready-to-run software image. An instance of the tool is available for testing at ..

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Cloud Computing and Services Science, precision-medicine healthcare models. Adding astronomically rising costs in research and healthcare, we have arrived at a critical turning point where it is now well within our reach to change how drugs are developed, how trials are performed and how patients are treated - and we can do this with

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https://doi.org/10.1007/978-1-4614-2326-3f algorithms and the contents of files and databases, directly structuring the data in a format suitable for further analysis. These ideas have been implemented in a prototype system called Ibidas. To retain flexibility, it is directly integrated into a scripting language. We show how this framework

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,Changing the Model in Pharma and Healthcare – Can We Afford to Wait Any Longer?,ice. Despite real-time availability of ‘big data’ from ubiquitous sensors, mobile devices, 3D printing of drugs, and a mind shift in data ownership, data integration still remains one of the core challenges to innovation. Increasingly persistent, semantic data integration is gaining recognition for

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From Questions to Effective Answers: On the Utility of Knowledge-Driven Querying Systems for Life Sthe data and provides intuitive form-based interfaces to facilitate querying of the data, commonly used by the life science researchers that we study. The second approach utilizes a large OWL ontology and the same datasets associated as RDF instances of the ontology. Both approaches are being used i

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The RDF Pipeline Framework: Automating Distributed, Dependency-Driven Data Pipelines,urces and sinks, each with its own data format, vocabulary and information requirements. The resulting data production processes often require a number of steps that must be repeated when source data changes – often wastefully if only certain portions of the data changed. This paper explains how dis

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Towards Interoperable BioNLP Semantic Web Services Using the SADI Framework,, and provide access to software modules that cannot be installed on regular computers due their complexity and heaviness. Whereas XML is the . interchange format for web services, the different XML schemas and the absence of semantics make the integration of resources (XML-based web services and th