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@computproteomics

Computational Proteomics Group at University of Southern Denmark

Here organize our tool development.

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  1. ProteoMaker ProteoMaker Public

    R 1 1

  2. OmicsQ OmicsQ Public

    OmicsQ is a Shiny-based web application designed for preprocessing and quantitative analysis of Omics data. It streamlines the preparation of data for subsequent analysis using specialized tools su…

    R 1 1

  3. vsclust vsclust Public

    Feature-based variance-sensitive clustering of omics data. Optimizes cluster assignment by taking into account individual feature variance.

    R 1

  4. great_hypothesis_tester great_hypothesis_tester Public

    Python

  5. PolySTest PolySTest Public

    PolySTest: Statistical testing with missing values

    R 1

Repositories

Showing 5 of 5 repositories
  • ProteoMaker Public
    computproteomics/ProteoMaker’s past year of commit activity
    R 1 MIT 1 2 0 Updated Dec 10, 2025
  • OmicsQ Public

    OmicsQ is a Shiny-based web application designed for preprocessing and quantitative analysis of Omics data. It streamlines the preparation of data for subsequent analysis using specialized tools such as PolySTest for statistical testing and VSClust for clustering analysis.

    computproteomics/OmicsQ’s past year of commit activity
    R 1 Apache-2.0 1 4 0 Updated Dec 1, 2025
  • vsclust Public

    Feature-based variance-sensitive clustering of omics data. Optimizes cluster assignment by taking into account individual feature variance.

    computproteomics/vsclust’s past year of commit activity
    R 0 GPL-2.0 1 0 0 Updated Nov 24, 2025
  • PolySTest Public

    PolySTest: Statistical testing with missing values

    computproteomics/PolySTest’s past year of commit activity
    R 0 GPL-2.0 1 2 0 Updated Nov 22, 2025
  • great_hypothesis_tester Public
    computproteomics/great_hypothesis_tester’s past year of commit activity
    Python 0 0 0 0 Updated May 27, 2024

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