From e8eeb969723e92b775231d4a69f5469ac317e0f2 Mon Sep 17 00:00:00 2001
From: Tonie <148514625+toniecrumley@users.noreply.github.com>
Date: Fri, 17 May 2024 09:32:57 -0500
Subject: [PATCH] Fixed typo in introduction. (#276)

---
 jupyter-book/preamble.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/jupyter-book/preamble.md b/jupyter-book/preamble.md
index 58c85abd..97d64be1 100644
--- a/jupyter-book/preamble.md
+++ b/jupyter-book/preamble.md
@@ -41,7 +41,7 @@ Bioinformatics is a challenging research field for newcomers as it requires know
 
 - If you are interested in multimodal data analysis, the basics of muon and MuData are recommended. This book covers MuData in greater detail, but only briefly introduces muon analogously to AnnData and scanpy. The excellent [muon tutorials](https://muon-tutorials.readthedocs.io/en/latest/) serve as a great introduction to multimodal data analysis with muon.
 
-- Basics R programming. Familiarity with control flow and basic data structures suffices. If you are new to programming and R we recommend the free [R for data science](https://r4ds.had.co.nz/) book.
+- Basic R programming. Familiarity with control flow and basic data structures suffices. If you are new to programming and R we recommend the free [R for data science](https://r4ds.had.co.nz/) book.
 
 - Basics of biology. While we roughly introduce the generation of the data, we will not cover the fundamentals of {term}`DNA`, RNA and proteins. If you are completely new to molecular biology in general, it might be advisable to work through _Molecular Biology of the Cell_ by Bruce Alberts et al.