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Browse free open source S/R Algorithms and projects below. Use the toggles on the left to filter open source S/R Algorithms by OS, license, language, programming language, and project status.

  • La version gratuite d'Auth0 s'enrichit ! Icon
    La version gratuite d'Auth0 s'enrichit !

    Gratuit pour 25 000 utilisateurs avec intégration Okta illimitée : concentrez-vous sur le développement de vos applications.

    Vous l'avez demandé, nous l'avons fait ! Les versions gratuite et payante d'Auth0 incluent des options qui vous permettent de développer, déployer et faire évoluer vos applications en toute sécurité. Utilisez Auth0 dès maintenant pour découvrir tous ses avantages.
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    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 of spectra, peptides and proteins, PANDA works out a few quantitative filters and new scores for quantification confidence. Third, PANDA is designed for processing proteomics big data in parallel.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
    Downloads: 0 This Week
    Last Update:
    See Project
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