Database of high-confidence human DUB substrates obtained from large scale proteomics experiments and from manual curation. Custom quality thresholds for large-scale experiments can be defined by the user. Data can be browsed graphically or queried by the gene name of the DUB or substrate of interest. Integration with external tools and databases is also available.

Wregex (weighted regular expression) combines a regular expression with a Position-Specific Scoring Matrix (PSSM) to efficiently search large databases of protein sequences (i.e. the human proteome) for linear motifs and prioritize candidates for experimental testing. Wregex can also be integrated with COSMIC to predict the impact on motif scores of recurrent mutations found in cancer samples.

b10prot is an R package designed for the analysis of proteomics data, specifically focusing on protein identification. Key features include: protein inference using our PAnalyzer algorithm, protein probabilities using our LPGF score, and refined FDR estimation using our FDRr technique.

LPGF is a novel protein-level scoring algorithm that uses the scores of the identified peptides and maintains all of the properties expected for a true protein probability. We also present a refinement of the picked method to calculate FDR at the protein level.

PAnalyzer is focused on the protein inference problem of shotgun proteomics. Our approach considers all the identified proteins and groups them into protein ambiguity groups indicating their confidence using different evidence categories.

Progressive web app to aid healthcare professionals at the Cruces Hospital to apply their own COVID-19 risk stratification model. This web app can be installed locally in a mobile device or desktop computer and used without internet connection.

MyMRM helps selecting proteotypic peptides, precursor and fragment ions for a a given protein using the information of shotgun experiments from the own lab.