PHOsphoproteomic dissecTiOn using Networks
The Kinase Library: a Global Atlas of the Human Protein Kinome
Toolkit for concretely describing non-canonical DNA, RNA, and proteins
This project is conduct research using deep learning to predict phosphorylation site in protein sequences
CWL workflow that facilitate performing a series of structural and phenotype related third party prediction methods starting from either a protein FASTA file or a list of Uniprot IDs. Integrated prediction methods refer to secondary structure, solvent accessibility, disordered regions, PTS modifications (phosphorylation, glycosylation, lipid mod…
Model training for prot2vec-based phosphorylation site prediction
Scripts used for the phosho data analysis
This code was written and used for statistical analysis and visualisation of data included in Drube et al. 2021.
PhosphoFind provides functions to identify phosphorylation positions (aminoacid number in proteins) in phosphoproteomics experiments.
Searching for Sulfotyrosines (sY) in a HA(pY)STACK
Algorithms for the generation of substitution matrices from intra-taxa variation data. Implemented and published on human genetic variation data.
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