Prediction of T-Cell Epitopes for Cancer Therapy
This repo contains the Python libraries for the Precision Immunology Pipeline developed at UCSC.
src/protect/pipeline/ProTECT.py - The python script for running the pipeline. src/protect/pipeline/input_parameters.yaml - The config file for the run that contains all the necessary parameters for the run. Flowchart.txt - A (super cool) flowchart describing the flow of the pipeline.
ProTECT uses sequencing information from a patient to predict the neo-epitopes produced in their tumors that can be used in T-cell based, or peptide vaccine based therapies.
All docker images used in this pipeline are available at
To learn how the pipeline can be run on a sample, head over to the ProTECT Manual
ProTECT is currently in its infancy and is under continuous development. We would appreciate users sharing the level 3 data produced by ProTECT with us such that we can better train our predictive models.