8 research outputs found

    Implementing a genomic data management system using iRODS in the Wellcome Trust Sanger Institute

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    <p>Abstract</p> <p>Background</p> <p>Increasingly large amounts of DNA sequencing data are being generated within the Wellcome Trust Sanger Institute (WTSI). The traditional file system struggles to handle these increasing amounts of sequence data. A good data management system therefore needs to be implemented and integrated into the current WTSI infrastructure. Such a system enables good management of the IT infrastructure of the sequencing pipeline and allows biologists to track their data.</p> <p>Results</p> <p>We have chosen a data grid system, iRODS (Rule-Oriented Data management systems), to act as the data management system for the WTSI. iRODS provides a rule-based system management approach which makes data replication much easier and provides extra data protection. Unlike the metadata provided by traditional file systems, the metadata system of iRODS is comprehensive and allows users to customize their own application level metadata. Users and IT experts in the WTSI can then query the metadata to find and track data.</p> <p>The aim of this paper is to describe how we designed and used (from both system and user viewpoints) iRODS as a data management system. Details are given about the problems faced and the solutions found when iRODS was implemented. A simple use case describing how users within the WTSI use iRODS is also introduced.</p> <p>Conclusions</p> <p>iRODS has been implemented and works as the production system for the sequencing pipeline of the WTSI. Both biologists and IT experts can now track and manage data, which could not previously be achieved. This novel approach allows biologists to define their own metadata and query the genomic data using those metadata.</p

    Geo-visualization Fortran library

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    <p><br/>Geobrowser tools offer easy access to geographical and map images over which geospatial data can be overlaid, a process that provides a powerful new visualization resource for scientists. Many of these tools make use of the well-documented KML/XML data formats, and the challenge for the scientist is to generate KML files from their simulation and analysis programs. Since many of these programs are written in the Fortran language, which does not have native tools to support XML files, we have developed a new library - WKML - that enables KML files to be produced directly and automatically. This paper describes the WKML library, gives a number of different examples to illustrate the breadth of its functionality, and describes in more detail an example of its use for hydrology.</p

    Geo-visualization Fortran library

    No full text
    Geobrowser tools offer easy access to geographical and map images over which geospatial data can be overlaid, a process that provides a powerful new visualization resource for scientists. Many of these tools make use of the well-documented KML/XML data formats, and the challenge for the scientist is to generate KML files from their simulation and analysis programs. Since many of these programs are written in the Fortran language, which does not have native tools to support XML files, we have developed a new library - WKML - that enables KML files to be produced directly and automatically. This paper describes the WKML library, gives a number of different examples to illustrate the breadth of its functionality, and describes in more detail an example of its use for hydrology.</p

    Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

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    Search for intermediate-mass black hole binaries in the third observing run of Advanced LIGO and Advanced Virgo

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    International audienceIntermediate-mass black holes (IMBHs) span the approximate mass range 100−105 M⊙, between black holes (BHs) that formed by stellar collapse and the supermassive BHs at the centers of galaxies. Mergers of IMBH binaries are the most energetic gravitational-wave sources accessible by the terrestrial detector network. Searches of the first two observing runs of Advanced LIGO and Advanced Virgo did not yield any significant IMBH binary signals. In the third observing run (O3), the increased network sensitivity enabled the detection of GW190521, a signal consistent with a binary merger of mass ∌150 M⊙ providing direct evidence of IMBH formation. Here, we report on a dedicated search of O3 data for further IMBH binary mergers, combining both modeled (matched filter) and model-independent search methods. We find some marginal candidates, but none are sufficiently significant to indicate detection of further IMBH mergers. We quantify the sensitivity of the individual search methods and of the combined search using a suite of IMBH binary signals obtained via numerical relativity, including the effects of spins misaligned with the binary orbital axis, and present the resulting upper limits on astrophysical merger rates. Our most stringent limit is for equal mass and aligned spin BH binary of total mass 200 M⊙ and effective aligned spin 0.8 at 0.056 Gpc−3 yr−1 (90% confidence), a factor of 3.5 more constraining than previous LIGO-Virgo limits. We also update the estimated rate of mergers similar to GW190521 to 0.08 Gpc−3 yr−1.Key words: gravitational waves / stars: black holes / black hole physicsCorresponding author: W. Del Pozzo, e-mail: [email protected]† Deceased, August 2020
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