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@RasmussenLab

RasmussenLab

The Rasmussen group focuses on proteome and genome variation, coding variation and deep learning for integration of genomics, proteomics and clinical data.

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  1. vamb vamb Public

    Variational autoencoder for metagenomic binning

    Python 334 51

  2. MOVE MOVE Public

    MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

    Jupyter Notebook 100 34

  3. phamb phamb Public

    Downstream processing of VAMB binning for Viral Elucidation

    Python 56 7

  4. pimms pimms Public

    Imputing proteomics data using deep learning models

    Jupyter Notebook 35 3

  5. PlasMAAG PlasMAAG Public

    PlasMAAG is a tool to recover plasmids and organisms from metagenomic samples

    Python 33 5

  6. SLIM SLIM Public

    SLIM is a small bilinear model that uses gene embeddings (e.g. STRING) to predict single-cell genetic perturbation responses.

    Python 11

Repositories

Showing 10 of 45 repositories
  • MOVE Public

    MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

    RasmussenLab/MOVE's past year of commit activity
    Jupyter Notebook 100 MIT 34 13 3 Updated Sep 13, 2026
  • PlasMAAG Public

    PlasMAAG is a tool to recover plasmids and organisms from metagenomic samples

    RasmussenLab/PlasMAAG's past year of commit activity
    Python 33 MIT 5 1 0 Updated Sep 1, 2026
  • integrative_post_gwas_methods_course Public

    Course material and notes for the PhD course "Integrative Post-GWAS Methods: Advanced Statistics, Functional Genomics, and Machine Learning" w. Ditte Demontis Group

    RasmussenLab/integrative_post_gwas_methods_course's past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Aug 26, 2026
  • V2F Public
    RasmussenLab/V2F's past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Aug 20, 2026
  • AugMent Public

    Contrastive alignment transfers proteomic disease predictive signals to metabolomics

    RasmussenLab/AugMent's past year of commit activity
    Python 2 MIT 0 0 0 Updated Aug 18, 2026
  • SLIM Public

    SLIM is a small bilinear model that uses gene embeddings (e.g. STRING) to predict single-cell genetic perturbation responses.

    RasmussenLab/SLIM's past year of commit activity
    Python 11 MIT 0 0 0 Updated Aug 18, 2026
  • pimms Public

    Imputing proteomics data using deep learning models

    RasmussenLab/pimms's past year of commit activity
    Jupyter Notebook 35 GPL-3.0 3 5 1 Updated Jul 8, 2026
  • DoBSeqWF Public

    Workflow for analysing two-dimensional overlapped pooled sequencing data

    RasmussenLab/DoBSeqWF's past year of commit activity
    Nextflow 2 MIT 0 0 0 Updated Jun 27, 2026
  • datainmedicine Public

    Materials for teaching the data medicine course

    RasmussenLab/datainmedicine's past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated May 19, 2026
  • CLASTER Public

    Modeling nascent RNA transcription from chromatin landscape and structure

    RasmussenLab/CLASTER's past year of commit activity
    Jupyter Notebook 2 MIT 0 0 0 Updated May 18, 2026
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