GitHub topics: phosphorylation
TheKinaseLibrary/kinase-library
The Kinase Library: a Global Atlas of the Human Protein Kinome
Language: Jupyter Notebook - Size: 211 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 2
CBFLivUni/Sulfo_Tyrosine
Searching for Sulfotyrosines (sY) in a HA(pY)STACK
Language: Python - Size: 49.5 MB - Last synced at: 9 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
RafRomB/PhosphoFind
PhosphoFind provides functions to identify phosphorylation positions (aminoacid number in proteins) in phosphoproteomics experiments.
Language: R - Size: 8.05 MB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
eliza-m/CrossSpeciesWorkflow
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 modification, sumoylation, etc).
Language: Python - Size: 6.13 MB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 3
frl21/Phosphorylation_Prediction
This project is conduct research using deep learning to predict phosphorylation site in protein sequences
Language: Jupyter Notebook - Size: 65.6 MB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1
Pathmanaban/Phospho_analysis
Scripts used for the phosho data analysis
Language: Jupyter Notebook - Size: 31.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
jdrudolph/photon
PHOsphoproteomic dissecTiOn using Networks
Language: Python - Size: 55.6 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 5
KarrLab/bpforms
Toolkit for concretely describing non-canonical DNA, RNA, and proteins
Language: Python - Size: 17.5 MB - Last synced at: 3 days ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 2
mo-yoda/Drube_2021
This code was written and used for statistical analysis and visualisation of data included in Drube et al. 2021.
Language: R - Size: 59.6 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
