update readme

README.md

@@ -19,6 +19,25 @@ Feature-aware phylogenetic profile of the yeast ribosome biogenesis genes across
 * The color scheme represents the similarity of annotated features between yeast proteins and the respective orthologs using the FAS scores ([Koestler, et al. 2010](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-417)) by assigning values between 0 and 1. The score is penalized for missing features (FAS_F; dot color) and added features (FAS_B; background color) in the orthologous protein. For instance, a protein with an identical feature architecture to the reference protein in yeast would have FAS_F = 1 and FAS_B = 1, and would appear as a blue dot in a white background according to the color scale.
 * For further details on the biological interpretation of the data, please refer to the article [DO WE HAVE A PRE-PRINT SOMEWHERE](https://www.biorxiv.org/content/10.1101/2021.01.29.428808v2).
 
+# Standalone installation
+
+From an R terminal, PhyloRBF can be installed locally using *devtools*:
+
+```r
+if (!requireNamespace("devtools"))
+    install.packages("devtools")
+devtools::install_github("BIONF/PhyloProfile", INSTALL_opts = c('--no-lock'), build_vignettes = TRUE)
+```
+
+Then, to run it, enter:
+
+```r
+library(PhyloRBF)
+runPhyloRBF()
+```
+
+Check your web browser, *PhyloRBF* will be displayed there ;-) For the first time running, the tool will download some pre-calculated data. Please be patient until you see a the profile plot.
+
 # Bugs
 Any bug reports or comments, suggestions are highly appreciated. Please [open an issue on GitHub](https://github.com/BIONF/PhyloRBF/issues/new) or be in touch via email.