Showing 5 open source projects for "re-tools"

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  • 1
    JARI - Just Another R Interface
    JARI (Just Another R Interface) is a comprehensive data science desktop suite engineered to guide researchers, students, and analysts through the entire data analysis lifecycle. By pairing a structured workflow with automated R code generation, JARI allows users to conduct rigorous statistical analysis without struggling with syntax—while keeping the full power of custom R scripting accessible for advanced users
    Downloads: 0 This Week
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  • 2
    PANDA

    PANDA

    A comprehensive and flexible quantification tool for proteomics data

    PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels...
    Downloads: 9 This Week
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  • 3
    ProteoWizard
    ProteoWizard development moved to GitHub in 2018. The ProteoWizard Library is a set of software libraries and tools for rapid development of proteomics data analysis software. The libraries are cross-platform and built from the ground up using modern C++ techniques.
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    Downloads: 31 This Week
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  • 4

    FoodPhysicsApplication

    A C# application for scientists in the area of physical chemistry

    The project has been created to develop a software that can help scientists in the area of physical chemistry with focus on foods data analysis tools that are currently mainly done by hand. In the first step, advanced analysis of texture analyzer compression data are provided and the project will be extended over time dependent on the time I can get to continue with it.
    Downloads: 0 This Week
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  • 5
    Logbus-ng consists in a set of tools to aid developers perform Log Analysis in all the stages: log generation, collection, distribution, storage and analysis. It is designed specifically for Field Failure Data Analysis in critical distributed systems
    Downloads: 0 This Week
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