diff --git a/OHCA.scss b/OHCA.scss
index 4a3d4fb..ecf14bc 100644
--- a/OHCA.scss
+++ b/OHCA.scss
@@ -41,8 +41,12 @@ div.sidebar-item-container .active, div.sidebar-item-container .show>.nav-link,
   font-weight: 800;
 }
 
-/* right navbar ------------------------------------------------------ */
+#quarto-sidebar {
+  transition: width .15s ease-in;
+  padding: 14px 10%;
+}
 
+/* right navbar ------------------------------------------------------ */
 
 .sidebar nav[role=doc-toc] ul>li>a.active, .sidebar nav[role=doc-toc] ul>li>ul>li>a.active {
   // border-left: 4px solid #480f1f;
diff --git a/index.qmd b/index.qmd
index 919373b..02f5fe4 100644
--- a/index.qmd
+++ b/index.qmd
@@ -5,14 +5,14 @@ reference-section-title: References
 bibliography: bibliography.bib
 ---
 
-# Welcome {-}
-
 ```{r}
 #| echo: false
 source("_common.R")
 .gh_url <- file.path('https://github.com', rmarkdown::metadata[['github-repo']])
 ```
 
+# Welcome {-}
+
 This is the landing page of the **"Orchestrating Hi-C analysis with Bioconductor"** 
 book. **The primary aim of this book is to introduce the `R` user to Hi-C analysis**. This 
 book starts with key concepts important for the analysis of chromatin conformation capture and then 
diff --git a/interoperability.qmd b/interoperability.qmd
index fcda589..bb5e176 100644
--- a/interoperability.qmd
+++ b/interoperability.qmd
@@ -34,6 +34,8 @@ library(HiCExperiment)
 library(HiContactsData)
 library(hicrep)
 library(multiHiCcompare)
+library(dplyr)
+library(tidyr)
 
 coolf_wt <- HiContactsData('yeast_wt', 'mcool')
 coolf_eco1 <- HiContactsData('yeast_eco1', 'mcool')
@@ -215,7 +217,7 @@ is also already taken care of, when working with Hi-C matrices in modern formats
 :::
 
 Based on these facts, we can simplify the binomial test function provided by 
-`GOTHiC` so that it can directly used binned interactions imported as a  
+`GOTHiC` so that it can directly used binned interactions imported as a 
 `HiCExperiment` object in `R`. 
 
 ```{r}