Update with eLife publication

https://elifesciences.org/articles/26726

README.md

@@ -1,6 +1,11 @@
 # Hetionet: an integrative network of disease
 
-Hetionet is a hetnet — network with multiple node and edge (relationship) types — which encodes biology. The hetnet was designed for [Project Rephetio](http://thinklab.com/p/rephetio "Repurposing drugs on a hetnet · Project Rephetio on Thinklab"), which aims to systematically identify why drugs work and predict new therapies for drugs.
+Hetionet is a hetnet — network with multiple node and edge (relationship) types — which encodes biology. The hetnet was designed for [Project Rephetio](https://doi.org/10.15363/thinklab.4 "Repurposing drugs on a hetnet · Project Rephetio on Thinklab"), which aims to systematically identify why drugs work and predict new therapies for drugs.
+The research article describing Project Rephetio and Hetionet v1.0 is:
+
+> [**Systematic integration of biomedical knowledge prioritizes drugs for repurposing**](https://doi.org/10.7554/eLife.26726)<br>
+<small>Daniel S Himmelstein, Antoine Lizee, Christine Hessler, Leo Brueggeman, Sabrina L Chen, Dexter Hadley, Ari Green, Pouya Khankhanian, Sergio E Baranzini</small><br>
+_eLife_ (2017-09-22) DOI: `10.7554/eLife.26726`
 
 Version 1.0 contains 47,031 nodes of 11 types and 2,250,197 relationships of 24 types. This repository is currently only a download location for Hetionet. The data integration and hetnet creation occurs in a separate repository ([`dhimmel/integrate`](https://github.com/dhimmel/integrate/tree/d482033bcaa913a976faf4a6ee08497281c739c3)) and is imported to this repository by [`import.ipynb`](import.ipynb).
 

hetnet/neo4j/docker/guides/hetionet.adoc

@@ -13,7 +13,7 @@
 
 Hetionet is a network of biology, disease, and pharmacology. Knowledge from millions of biomedical studies over the last half century have been encoded into a single hetnet. Version 1.0 contains 47,031 nodes of 11 types and 2,250,197 relationships of 24 types.
 
-We created link:https://github.com/dhimmel/hetionet[Hetionet] v1.0 for link:https://doi.org/bszr[Project Rephetio] (link:https://doi.org/10.1101/087619[manuscript]) — where we systematically looked at why drugs work and predicted new uses for existing drugs.
+We created link:https://github.com/dhimmel/hetionet[Hetionet] v1.0 for link:https://doi.org/bszr[Project Rephetio] (link:https://doi.org/10.7554/eLife.26726[publication]) — where we systematically looked at why drugs work and predicted new uses for existing drugs.
 
 ++++
 </div>

hetnet/neo4j/docker/guides/hetionet.html

@@ -58,7 +58,7 @@ <h4>Hetionet v1.0</h4>
 <p>Hetionet is a network of biology, disease, and pharmacology. Knowledge from millions of biomedical studies over the last half century have been encoded into a single hetnet. Version 1.0 contains 47,031 nodes of 11 types and 2,250,197 relationships of 24 types.</p>
 </div>
 <div class="paragraph">
-<p>We created <a href="https://github.com/dhimmel/hetionet">Hetionet</a> v1.0 for <a href="https://doi.org/bszr">Project Rephetio</a> (<a href="https://doi.org/10.1101/087619">manuscript</a>) — where we systematically looked at why drugs work and predicted new uses for existing drugs.</p>
+<p>We created <a href="https://github.com/dhimmel/hetionet">Hetionet</a> v1.0 for <a href="https://doi.org/bszr">Project Rephetio</a> (<a href="https://doi.org/10.7554/eLife.26726">publication</a>) — where we systematically looked at why drugs work and predicted new uses for existing drugs.</p>
 </div>
 </div>
 <div class="col-lg-3 ng-scope">