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