From 2bf759dea27ef002956358b77de6becbffd58d34 Mon Sep 17 00:00:00 2001
From: Tim O'Donnell <timodonnell@gmail.com>
Date: Fri, 22 Dec 2017 01:35:14 -0500
Subject: [PATCH] update readme

---
 README.md | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index 991c8aaf..90d3d2ef 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,7 @@
-[![Build Status](https://travis-ci.org/hammerlab/mhcflurry.svg?branch=master)](https://travis-ci.org/hammerlab/mhcflurry) [![Coverage Status](https://coveralls.io/repos/github/hammerlab/mhcflurry/badge.svg?branch=master)](https://coveralls.io/github/hammerlab/mhcflurry?branch=master)
-
 # mhcflurry
-Open source neural network models for peptide-MHC binding affinity prediction
-
-MHCflurry is an open source package for peptide/MHC I binding affinity prediction.
-It provides competitive accuracy with a fast and documented implementation.
+Open source peptide/MHC I binding affinity prediction. Competitive accuracy, fast,
+and [documented](http://www.hammerlab.org/mhcflurry/).
+[![Build Status](https://travis-ci.org/hammerlab/mhcflurry.svg?branch=master)](https://travis-ci.org/hammerlab/mhcflurry) [![Coverage Status](https://coveralls.io/repos/github/hammerlab/mhcflurry/badge.svg?branch=master)](https://coveralls.io/github/hammerlab/mhcflurry?branch=master)
 
 MHCflurry supports Class I peptide/MHC binding affinity prediction using
 ensembles of allele-specific models. You can fit MHCflurry models to your own data
-- 
GitLab