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@InfectionMedicineProteomics

Infection Medicine Proteomics

The infection medicine proteomics lab (IMP) headed by Professor Johan Malmström develops quantitative and structural proteomics techniques to characterize the molecular mechanisms behind bacterial infections. The major goals include: 1) develop new structural proteomics techniques to investigate protein-protein interaction networks between host and pathogens 2) determine the properties characterizing a protective antibody response against bacterial pathogens and 3) determine biomarker panels associated with the onset of organ dysfunction in sepsis. The overall research vision is to provide improved understanding of the molecular interplay between host and pathogen at a systems-wide level that ultimately will lead to the development of new preventive, diagnostic and treatment opportunities for severe infections.

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  1. BINN BINN Public

    Generating biologically informed neural networks

    Jupyter Notebook 62 16

  2. DPKS DPKS Public

    Data Processing Kitchen Sink for proteomics data

    Jupyter Notebook 15 4

  3. gps gps Public

    A generalized precursor scoring method for proteomics data

    Python 2

  4. workflows workflows Public

    Forked from OpenSWATH/workflows

    OpenSWATH Snakemake Workflows

    Python

  5. ursgal ursgal Public

    Forked from ursgal/ursgal

    Ursgal - universal Python module combining common bottom-up proteomics tools for large-scale analysis

    Python

  6. GPSWorkflows GPSWorkflows Public

    Python

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