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Københavns Universitet
Novo Nordisk Foundation
Center for Protein Research
    Novo Nordisk Foundation Center for Protein Research
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    Scientific Tools

    CPR has developed several tools to aid research in proteins. The tools span from molecular networks and protein annotation to text mining and disease trajectories and are freely available for the scientific community:

    Network biology tools

    STRING
    Database for known and predicted protein-protein interactions
    Diseases
    Database with disease-gene associations from text mining

    Database with disease-gene associations from text mining

    Cytoscape StringApp
    Visualize protein interaction data
    Tissues
    Protein expression database focusing on protein localization at the anatomical level
    COMPARTMENTS
    Protein localization database focusing on protein localization at the subcellular level

    Systems medicine tools

    Disease Trajectory Browser
    Explore population-wide disease progression patterns
    miRandola
    Classification of extracellular circulating non-coding RNA types

    Sequence analysis tools

    SignalP 5.0
    Software that predicts the presence of signal peptides
    VAMB
    Algorithm using variational autoencoders for metagenomics binning

    Other tools

    TAGGER
    Highly optimized dictionary-based tagging engine for PubMed abstracts

    Novo Nordisk Foundation Center for Protein Research
    University of Copenhagen
    Blegdamsvej 3B, DK-2200 Copenhagen N
    Contact:
    CPR Administration
    contact@cpr.com
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