Added link to source and publication info

README.md

@@ -1,5 +1,8 @@
 # SensorOverlord
 
+**Source:**
+[![GitHub Repo](https://img.shields.io/badge/GitHub%20Repository-SensorOverlord-blue.svg)](https://github.com/apfeldlab/sensoroverlord)
+
 **Build:**
 [![Build Status](https://travis-ci.com/ApfeldLab/SensorOverlord.svg?branch=master&status=passed)](https://travis-ci.com/github/ApfeldLab/SensorOverlord)
 [![codecov](https://codecov.io/gh/apfeldlab/sensoroverlord/branch/master/graph/badge.svg)](https://codecov.io/gh/apfeldlab/sensoroverlord)
@@ -15,6 +18,10 @@ This package aims to help you understand the limitations of quantatative measure
 
 You can load sensor spectra information into an object, take ratio measurements from that spectra, convert those ratio measurements into biophysically-meaningful values (e.g. fraction protenated and pH or fraction oxidized and redox potential), and then analyze how errors in ratio measurements affect the errors in those values. 
 
+## Detailed Information
+
+For more detailed information about this package, see our [manuscript in Scientific Reports](https://www.nature.com/articles/s41598-020-73987-0) and/or our [documentation site](https://apfeldlab.github.io/SensorOverlord/).
+
 ## Getting Started
 
 You can install the package from within R with the `devtools` package. 

inst/shinyApp/www/more_info.html

@@ -5,11 +5,14 @@ <h3>Full SensorOverlord package</h3>
 that you have seen in this application. For instructions on how to use and install
 the SensorOverlord package, see the <a href="https://www.github.com/apfeldlab/sensoroverlord">associated
 github package.</a></p>
-<h3>Scientific Manuscript</h3>
-<p>We have made available a much more rigorous and thorough overview of the SensorOverlord
-package, as well as it's applications and derivations, in a manuscript <a href="https://www.biorxiv.org/content/10.1101/2020.01.31.928895v1">available here on biorxiv.</a></p>
+<h3>Scientific Manuscript and Citation</h3>
+<p>If you use SensorOverlord in your work, please cite our manuscript as follows:<p>
+<p><span>Stanley, J.A., Johnsen, S.B. &amp; Apfeld, J. The SensorOverlord predicts the accuracy of measurements with ratiometric biosensors.&nbsp;</span><em>Sci Rep</em><span>&nbsp;</span><span>10,&nbsp;</span><span>16843 (2020). https://doi.org/10.1038/s41598-020-73987-0</span></p>
+</p>
+<p>The paper includes a much more rigorous overview of the SensorOverlord package, as well as its applications and derivations.
+It is publically-available <a href="https://www.nature.com/articles/s41598-020-73987-0">here via Scentific Reports.</a></p>
 <h3>Contact</h3>
 <p>If you have absolutely any questions related to SensorOverlord, or just want to get in touch, 
 please feel free to reach out to me (Julian) at julianst [at] mit [dot] edu, or to my PI (Dr. Javier Apfeld)
 at j [dot] apfeld [at] northeastern [dot] edu.</p>
-<p>Best of luck with all of your microscopy endeavors!</p>
+<p>Best of luck with all of your microscopy endeavors!</p>