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update readme
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@timodonnell
timodonnell committed Dec 22, 2017
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Expand Up @@ -6,8 +6,9 @@ prediction package with competitive accuracy and a fast and
[documented](http://www.hammerlab.org/mhcflurry/) implementation.

MHCflurry supports Class I peptide/MHC binding affinity prediction using
ensembles of allele-specific models. It runs on Python versions 2.7 and 3.4+ using
the [keras](https://keras.io) neural network library.
ensembles of allele-specific models. It runs on Python 2.7 and 3.4+ using
the [keras](https://keras.io) neural network library. It exposes [command-line](http://www.hammerlab.org/mhcflurry/commandline_tutorial.html)
and [Python library](http://www.hammerlab.org/mhcflurry/python_tutorial.html) interfaces.

If you find MHCflurry useful in your research please cite:

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