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 # High-Throughput RNA-seq model fit
 
-
-- [Getting started](#getting-started)
-- [Installation](#installation)
-- [CRAN packages dependencies](#cran-packages-dependencies)
-- [Docker](#docker)
-
 ## Why use HTRfit
 
 HTRfit provides a robust statistical framework that allows you to investigate the essential experimental parameters influencing your ability to detect expression changes. Whether you're examining sequencing depth, the number of replicates, or other critical factors, HTRfit's computational simulation is your go-to solution.
@@ -15,6 +9,8 @@ Furthermore, by enabling the inclusion of fixed effects, mixed effects, and inte
 
 ## Getting started
 
+Our documentation includes a few example applications showing how to use our package:
+
 * [ Theory behind HTRfit ](https://htrfit-lbmc-yvertlab-vortex-plasticity-mutation-477701eb488dfd9.gitbiopages.ens-lyon.fr/articles/01-theoryBehindHtrfit.html)
 * [ Simulation tutorial ](https://htrfit-lbmc-yvertlab-vortex-plasticity-mutation-477701eb488dfd9.gitbiopages.ens-lyon.fr/articles/02-tutorial.html) 
 * [ RNAseq analysis with HTRfit ](https://htrfit-lbmc-yvertlab-vortex-plasticity-mutation-477701eb488dfd9.gitbiopages.ens-lyon.fr/articles/03-rnaseq_analysis.html)