update links on README
# mhcflurry
[MHC I](https://en.wikipedia.org/wiki/MHC_class_I) ligand
prediction package with competitive accuracy and a fast and
-[documented](http://www.hammerlab.org/mhcflurry/) implementation.
+[documented](http://openvax.github.io/mhcflurry/) implementation.
MHCflurry supports Class I peptide/MHC binding affinity prediction using
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.
+the [keras](https://keras.io) neural network library. It exposes [command-line](http://openvax.github.io/mhcflurry/commandline_tutorial.html)
+and [Python library](http://openvax.github.io/mhcflurry/python_tutorial.html) interfaces.
If you find MHCflurry useful in your research please cite:
@@ -39,4 +39,4 @@ $ mhcflurry-predict \
Wrote: /tmp/predictions.csv
```
-See the [documentation](http://www.hammerlab.org/mhcflurry/) for more details.
+See the [documentation]http://openvax.github.io/mhcflurry/) for more details.
