Showing 3 open source projects for "smart monitoring tools"

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    Auth0 B2B Essentials: SSO, MFA, and RBAC Built In

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    Build Agents and Models on One Platform

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    GromacsProSuite

    Graphical User Interface for Gromacs

    ...The software automates tasks such as topology generation, solvation, ion addition, minimization, equilibration, and production runs while executing GROMACS commands in the background. Built-in monitoring tracks CPU, RAM, and disk usage to ensure stable performance during parallel processing. Beyond simulation execution, it includes advanced trajectory processing and analysis tools such as RMSD, RMSF, SASA, clustering, PCA, hydrogen-bond analysis, Ramachandran plots, and FEL mapping. With integrated visualization and plotting utilities, it offers a unified platform for researchers, educators, and students to perform complete MD workflows efficiently and reproducibly. ...
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  • 2
    TIES

    TIES

    A smart search engine for medical documents

    TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com *** NOTICE: this software and forum are no longer...
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  • 3
    adLIMS

    adLIMS

    adLIMS: a Laboratory Information Management System with ADempiere

    Many biological laboratories dealing with genomic samples are facing the problem of sample tracking, both for pure laboratory management and efficiency, and for internal policies, such as Good Laboratory Practices (GLP). Our laboratory exploits PCR techniques and next-generation sequencing (NGS) methods, to perform high-throughput integration site monitoring in different clinical trials and scientific projects, based on the delivery of therapeutic genes by viral vectors integrating into the genome of target cells. We process around 1500 samples/year resulting in hundreds of millions of sequencing reads, requiring automation and posing new challenges in data storage, monitoring of sample process and computational tools for analyses. ...
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