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README update
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timodonnell committed Jun 8, 2022
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Expand Up @@ -13,13 +13,12 @@ It exposes [command-line](http://openvax.github.io/mhcflurry/commandline_tutoria
and [Python library](http://openvax.github.io/mhcflurry/python_tutorial.html)
interfaces.

Starting in version 1.6.0, MHCflurry also includes two expermental predictors,
MHCflurry also includes two expermental predictors,
an "antigen processing" predictor that attempts to model MHC allele-independent
effects such as proteosomal cleavage and a "presentation" predictor that
integrates processing predictions with binding affinity predictions to give a
composite "presentation score." Both models are trained on mass spec-identified
MHC ligands. These models were updated to incorporate minor improvements
for the MHCflurry 2.0 release.
MHC ligands.

If you find MHCflurry useful in your research please cite:

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