5 research outputs found

    BioSimulators: a central registry of simulation engines and services for recommending specific tools

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    Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for simulating various subsystems and scales remain siloed by different software tools. For example, each tool must be executed through a distinct interface. To help investigators find and use simulation tools, we developed BioSimulators (https://biosimulators.org), a central registry of the capabilities of simulation tools and consistent Python, command-line and containerized interfaces to each version of each tool. The foundation of BioSimulators is standards, such as CellML, SBML, SED-ML and the COMBINE archive format, and validation tools for simulation projects and simulation tools that ensure these standards are used consistently. To help modelers find tools for particular projects, we have also used the registry to develop recommendation services. We anticipate that BioSimulators will help modelers exchange, reproduce, and combine simulations

    opencobra/cobrapy: 0.29.0

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    <h1>Release notes for cobrapy 0.29.0</h1> <h2>New features</h2> <ul> <li>Added a new "hybrid" solver that exposes an HIGHS/OSQP combinations for large scale LPs, MILPs, and QPs.</li> </ul> <h2>Fixes</h2> <p>Repaired the broken Biomodels Web IO.</p> <h2>Other</h2> <h2>Deprecated features</h2> <ul> <li>The OSQP solver is deprecated in favor of the hybrid solver which also uses OSQP but will not attempt to solve LPs with OSQP anymore. Setting the <code>model.solver = "osqp"</code> will now use the hybrid interface and will raise an error in a future release.</li> </ul> <h2>Backwards incompatible changes</h2&gt

    BioSimulators: a central registry of simulation engines and services for recommending specific tools

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    Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for simulating various subsystems and scales remain siloed by different software tools. For example, each tool must be executed through a distinct interface. To help investigators find and use simulation tools, we developed BioSimulators (https://biosimulators.org), a central registry of the capabilities of simulation tools and consistent Python, command-line and containerized interfaces to each version of each tool. The foundation of BioSimulators is standards, such as CellML, SBML, SED-ML and the COMBINE archive format, and validation tools for simulation projects and simulation tools that ensure these standards are used consistently. To help modelers find tools for particular projects, we have also used the registry to develop recommendation services. We anticipate that BioSimulators will help modelers exchange, reproduce, and combine simulations

    BioSimulators: a central registry of simulation engines and services for recommending specific tools

    Get PDF
    International audienceComputational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for simulating various subsystems and scales remain siloed by different software tools. For example, each tool must be executed through a distinct interface. To help investigators find and use simulation tools, we developed BioSimulators (https://biosimulators.org), a central registry of the capabilities of simulation tools and consistent Python, command-line and containerized interfaces to each version of each tool. The foundation of BioSimulators is standards, such as CellML, SBML, SED-ML and the COMBINE archive format, and validation tools for simulation projects and simulation tools that ensure these standards are used consistently. To help modelers find tools for particular projects, we have also used the registry to develop recommendation services. We anticipate that BioSimulators will help modelers exchange, reproduce, and combine simulations
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