Amrey Krause

The University of Edinburgh, Edinburgh, SCT, United Kingdom

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Publications (6)4.75 Total impact

  • Chapter: Managing and Analysing Genomic Data using HPC and Clouds
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    ABSTRACT: 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].
    01/2011: pages 261-277; , ISBN: 9783642200441
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    Article: Integrating distributed data sources with OGSA-DAI DQP and VIEWS.
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    ABSTRACT: OGSA-DAI (Open Grid Services Architecture Data Access and Integration) is a framework for building distributed data access and integration systems. Until recently, it lacked the built-in functionality that would allow easy creation of federations of distributed data sources. The latest release of the OGSA-DAI framework introduced the OGSA-DAI DQP (Distributed Query Processing) resource. The new resource encapsulates a distributed query processor, that is able to orchestrate distributed data sources when answering declarative user queries. The query processor has many extensibility points, making it easy to customize. We have also introduced a new OGSA-DAI Views resource that provides a flexible method for defining views over relational data. The interoperability of the two new resources, together with the flexibility of the OGSA-DAI framework, allows the building of highly customized data integration solutions.
    Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences 09/2010; 368(1926):4133-45. · 2.77 Impact Factor
  • Conference Proceeding: Introduction to OGSA-DAI Services.
    Scientific Applications of Grid Computing, First International Workshop, SAG 2004, Beijing, China, September 20-24, 2004, Revised Selected and Invited Papers; 01/2004
  • Article: Seasonal variations in human seminal parameters.
    Amrey Krause, Walter Krause
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    ABSTRACT: To obtain data on seasonal variations of sperm parameters in an andrology laboratory. Semen parameter values and hormone values of 2454 patients attending our infertility clinic between 1990 and 1997 were analysed. Seasonal trends were calculated using the method of Edwards [Ann. Hum. Genet. 25 (1961) 83]. The total group of mean sperm count did not show a significant variation, but a significant circannual trend occurred of patients born in the groups 1950-1954, 1955-1959 and 1965-1969. A significant variation of acrosin activity occurred with a maximum in March. The other parameters did no show significant variations. The knowledge on circannual variation of semen parameters and hormone values may be of value in diagnostic and therapeutic decisions in reproductive medicine.
    European Journal of Obstetrics & Gynecology and Reproductive Biology 04/2002; 101(2):175-8. · 1.97 Impact Factor
  • Article: OGSA-DAI: Two Years On
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    ABSTRACT: The OGSA-DAI project has been producing Grid-enabled middleware for almost two years now, providing data access and integration capabilities to data resources, such as databases, within an OGSA context. In these two years, OGSA-DAI has been tracking rapidly evolving standards, managing changes in software dependencies, contributing to the standardisation process and liasing with a growing user community together with their associated data requirements. This process has imparted important lessons and raised a number of issues that need to be addressed if a middleware product is to be widely adopted. This paper examines the experiences of OGSA-DAI in implementing proposed standards, the likely impact that the still-evolving standards landscape will have on future implementations and how these affect uptake of the software. The paper also examines the gathering of requirements from and engagement with the Grid community, the difficulties of defining a process for the management and publishing of metadata, and whether relevant standards can be implemented in an efficient manner. The OGSA-DAI software distribution and more details about the project are available from the project Web site at http://www.ogsadai.org.uk/.
  • Article: OGSA-DAI Status Report and Future Directions
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    ABSTRACT: The OGSA-DAI middleware has been publicly available for over two years. OGSA-DAI facilitates Data Access and Integration (DAI) of data resources, such as relational and XML databases, within a Grid context. Project members also participate in the development of DAI standards through the GGF DAIS WG. The standards that emerge through this effort will be adopted by OGSA-DAI once they have stabilised. The OGSA-DAI developers are also engaging with a growing user community to gather their data and functionality requirements. Several large projects are already using OGSA- DAI to provide their DAI capabilities. This paper presents a status report on OGSA-DAI activities since the last AHM and announces future directions. The OGSA-DAI software distribution and more information about the project is available from the project website at http://www.ogsadai.org.uk/.