update

README.md

@@ -81,9 +81,11 @@ fig.d %>% ggplot(aes(Corr.log10P,Enrichment.log10P,color=Score)) +
 
 # About
 
-We are actively developing this package and will include more detailed vignettes soon!
+We are actively developing this package and will include additional detailed vignettes soon!
 
-Check out our walkthroughs on applying the FigR framework to multi-modal and independently derived scATAC-seq / scRNA-seq data by clicking on the links below:
+Please visit our [documentation website](https://buenrostrolab.github.io/FigR/) for more details on examples and functions that the FigR package supports.
+
+You may also directly check out our walkthroughs on applying the FigR framework to multi-modal and independently derived scATAC-seq / scRNA-seq data by clicking on the links below:
 
 <p align="left">
 <a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/buenrostrolab/FigR/master/vignettes/web_only/FigR_shareseq_tutorial.html"><img src="man/figures/skinv2.png"  title="FigR on SHARE-seq mouse skin data" height="30%" width="35%"></a>
@@ -94,6 +96,6 @@ Check out our walkthroughs on applying the FigR framework to multi-modal and ind
 <a href="https://htmlpreview.github.io/?https://raw.githubusercontent.com/buenrostrolab/FigR/master/vignettes/web_only/FigR_stim_tutorial.html"><img src="man/figures/PBMCs.png"  title="FigR on independently assayed PBMC data" height="30%" width="35%"></a>
 </p>
 
-# Reference
+# Reference / Citation
 
 See our [recent preprint](https://www.biorxiv.org/content/10.1101/2021.07.28.453784v1) detailing  the use of the FigR framework for gene regulatory network inference using scATAC and scRNA-seq integration