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Showing 5 open source projects for "databases"

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  • 1

    CS Miner

    A tool for Navigating in Chemical Space

    CS-Miner stands for Chemical Space Miner and is a software tool for navigating in chemical space of compound databases. It helps for deriving appropriate classification models and performing virtual screening. Download it via: http://csminer.com/csm/?p=7 A quick tutorial is available through: http://csminer.com/csm/?p=8
    Downloads: 1 This Week
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  • 2

    PeptideManager_LRNO

    Unique Peptide Sequence Finder (host background (xenografts) friendly)

    ...Its main advantage is to allow the presence of a host/background proteome (e.g., xenograft samples) during this peptide sequences selection. PeptideManager can build peptide sequences databases from various public repository (SwissProt/Trembl/UniProt, RefSeq, IPI) and various proteases. For any use, please refer to the publication: doi: 10.3389/fgene.2014.00305 http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00305/abstract
    Downloads: 0 This Week
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  • 3
    WSciParser (Web Science Parser) is a handy small library created in C#.NET to parse data from web science databases (ISI Web, NCBI, PubMed...)
    Downloads: 0 This Week
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  • 4
    ProTag integrates biological web services and online databases seamlessly into the Microsoft Office applications Word, Excel and PowerPoint. It is extensible and offers smart tagging of biological objects (e.g. protein names) within Office documents.
    Downloads: 0 This Week
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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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  • 5
    BRISC (BRISC Really IS Cool) is 1) a library for Haralick, Gabor and Markov image feature extraction from pulmonary nodule DICOM images and 2) a simple content-based image retrieval (CBIR) system for pulmonary nodule databases (ie. LIDC).
    Downloads: 0 This Week
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