High-throughput MHC I ligand prediction using MHCflurry
T O'Donnell, A Rubinsteyn - Bioinformatics for Cancer Immunotherapy …, 2020 - Springer
Bioinformatics for Cancer Immunotherapy: Methods and Protocols, 2020•Springer
MHCflurry is an open source package for peptide/MHC I binding affinity prediction. Its
command-line and programmatic interfaces make it well-suited for integration into high-
throughput bioinformatic pipelines. Users can download models fit to publicly available data
or train predictors on their own affinity measurements or mass spec datasets. This chapter
gives a tutorial on essential MHCflurry functionality, including generating predictions,
training new models, and using the MHCflurry Python interface. MHCflurry is available at …
command-line and programmatic interfaces make it well-suited for integration into high-
throughput bioinformatic pipelines. Users can download models fit to publicly available data
or train predictors on their own affinity measurements or mass spec datasets. This chapter
gives a tutorial on essential MHCflurry functionality, including generating predictions,
training new models, and using the MHCflurry Python interface. MHCflurry is available at …
Abstract
MHCflurry is an open source package for peptide/MHC I binding affinity prediction. Its command-line and programmatic interfaces make it well-suited for integration into high-throughput bioinformatic pipelines. Users can download models fit to publicly available data or train predictors on their own affinity measurements or mass spec datasets. This chapter gives a tutorial on essential MHCflurry functionality, including generating predictions, training new models, and using the MHCflurry Python interface. MHCflurry is available at https://github.com/openvax/mhcflurry .
Springer
