Showing 4 open source projects for "compute"

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  • 1
    Protenix

    Protenix

    A trainable PyTorch reproduction of AlphaFold 3

    ...PDB/CIF) into full 3D atomic-level structure predictions. It supports both “full” models and lightweight variants such as “Protenix-Mini,” offering a trade-off between speed/compute cost and predictive accuracy — making structure prediction accessible even in resource-constrained environments. The project also includes support for constraints (e.g., specifying residue- or atom-level contact constraints, or pocket constraints) to guide predictions toward biologically or experimentally relevant conformations, which enhances its utility for tasks like modeling complexes, ligands, or antibody–antigen interactions.
    Downloads: 4 This Week
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  • 2

    openSEQ

    NGS compute distro proloaded with pipeline analysis software

    Forked Ubuntu 14.04 minimal install with XOrg and FluxBox desktop environment for web-based pipeline construction and job submission. HOWTO: 1) Set VM network settings to a bridged adapter type. 2) Load VM to client 3) From host: $ ssh -X ubuntu@<foobar> 'firefox && butterfly.server.py --unsecure' --- passwd = 616287xx 5) or ssh into host with X forwarding, and type runme This will launch an X-session of Firefox on the client, which will then be forwarded to the host. The...
    Downloads: 0 This Week
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  • 3

    QUASR

    Cross-platform NGS processing and analysis pipeline in Python

    ...Functions include: duplicate removal demultiplexing primer-removal quality-assurance (QA) graphing quality control (QC) consensus-generation minority-variant determination minority-variant graphing The main current version is 6.X, which is written in Python3. 7.X is my rewrite in Java, but is still work in progress. Both are written to be as lightweight as possible so they can run with minimal memory-requirements on a desktop or laptop as well as on a compute cluster. If you have any problems with QUASR, please do contact me at the email address provided in the README.
    Downloads: 0 This Week
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  • 4
    ...trimAl implements a series of automated algorithms that trim the alignment searching for optimum thresholds based on inherent characteristics of the input alignment, to be used so that the signal-to-noise ratio after alignment trimming phase is increased. Among trimAl’s additional features, trimAl allows getting the complementary alignment (columns that were trimmed), to compute statistics from the alignment, to select the output file format , to get a summary of trimAl’s trimming in HTML and SVG formats, and many other options.
    Downloads: 0 This Week
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