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Showing 4 open source projects for "java dev tool program"

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  • The full-stack observability platform that protects your dataLayer, tags and conversion data Icon
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  • 1

    sequoia-dap

    SEQUOIA ocean data assimilation platform (a SIROCCO suite tool)

    ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** Within the SIROCCO suite of numerical tools, the purpose of SDAP is to provide a flexible platform to carry out multivariate assimilation of geophysical data in a numerical model. The program is multi-grid (finite differences or finite...
    Downloads: 0 This Week
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  • 2
    GESPA

    GESPA

    Accurately predicts disease association of single nucleotide mutations

    ...A host of annotations are provided: orthologous and paralogous multiple sequence alignments, UCSC annotations, reports detailing conservation of a nsSNP in alignments, and links to external nsSNP and gene information such as relevant publications. GESPA is connected to a constantly updating SQL server allowing for fast data retrieval. NOTE: REQUIRES Java 1.7.0+. Port 1433 cannot be blocked by firewall, network, or antivirus program. Please cite: http://tinyurl.com/oj7p84a
    Downloads: 0 This Week
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  • 3
    In early stages of software process implantation, is hard to measure the company performance. So, this project aims to help this difficult by providing a measurement process tool for software factories continuos improvement program.
    Downloads: 0 This Week
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  • 4
    MicroArray Genome Imaging and Clustering Tool (MAGIC tool) is a platform-independant java program for analyzing MicroArray data (.tiff scans & .txt godlists) via graphs and clustering operations (including QT-clustering). http://www.bio.davidson.edu/magic
    1 Review
    Downloads: 1 This Week
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    Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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