Search for dissertations about: "eScience"

Found 3 swedish dissertations containing the word eScience.

  1. 1. eScience Approaches to Model Selection and Assessment : Applications in Bioinformatics

    Author : Martin Eklund; Jarl Wikberg; Ron Wehrens; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; high-throughout biology; eScience; model selection; model assessment; Bioinformatics; Bioinformatik;

    Abstract : High-throughput experimental methods, such as DNA and protein microarrays, have become ubiquitous and indispensable tools in biology and biomedicine, and the number of high-throughput technologies is constantly increasing. They provide the power to measure thousands of properties of a biological system in a single experiment and have the potential to revolutionize our understanding of biology and medicine. READ MORE

  2. 2. Bioclipse : Integration of Data and Software in the Life Sciences

    Author : Ola Spjuth; Jarl Wikberg; Mark Wilkinsson; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Bioclipse; integration; life sciences; bioinformatics; cheminformatics; chemoinformatics; eclipse; rich client; xmpp; qsar-ml; web service; standard; ontology; Bioinformatics; Bioinformatik;

    Abstract : New high throughput experimental techniques have turned the life sciences into a data-intensive field. Scientists are faced with new types of problems, such as managing voluminous sources of information, integrating heterogeneous data, and applying the proper analysis algorithms; all to end up with reliable conclusions. READ MORE

  3. 3. Architectures, design methodologies, and service composition techniques for Grid job and resource management

    Author : Per-Olov Östberg; Erik Elmroth; Umeå universitet; []
    Keywords : ;

    Abstract : The field of Grid computing has in recent years emerged and been established as an enabling technology for a range of computational eScience applications. The use of Grid technology allows researchers and industry experts to address problems too large to efficiently study using conventional computing technology, and enables new applications and collaboration models. READ MORE