From af172da9a3a1cc580111b823dfb73a327c5ce57c Mon Sep 17 00:00:00 2001
From: hpolvech <helene.polveche@ens-lyon.fr>
Date: Thu, 14 Oct 2021 10:10:03 +0200
Subject: [PATCH] readcsv 2
---
session_4/session_4.Rmd | 16 +++++++++++++++-
1 file changed, 15 insertions(+), 1 deletion(-)
diff --git a/session_4/session_4.Rmd b/session_4/session_4.Rmd
index 34f337b..46b7df4 100644
--- a/session_4/session_4.Rmd
+++ b/session_4/session_4.Rmd
@@ -474,7 +474,7 @@ For the next part, we will use a real data set. Anterior tibial muscle tissue wa
First, we will use the gene count table of these samples, formatted for use in ggplot2 ( `pivot_longer()` [function](https://tidyr.tidyverse.org/reference/pivot_longer.html) ).
-Open the csv file using the `read_csv2()` function. The file is located at "XXX".
+Open the csv file using the `read_csv2()` function. The file is located at "http://perso.ens-lyon.fr/laurent.modolo/R/session_4/Expression_matrice_pivot_longer_DEGs_GSE86356.csv".
<details><summary>Solution</summary>
<p>
@@ -549,4 +549,18 @@ ggplot(expr_DM1, aes(samples, Genes, fill= log1p(counts))) +
</p>
</details>
+## Volcano Plot
+For this last exercise, we will use the results of the differential gene expression analysis between DM1 vs WT conditions.
+
+Open the csv file using the `read_csv2()` function. The file is located at "http://perso.ens-lyon.fr/laurent.modolo/R/session_4/EWang_Tibialis_DEGs_GRCH37-87_GSE86356.csv".
+
+<details><summary>Solution</summary>
+ <p>
+```{r read_csv2}
+tab <- read_csv2("http://perso.ens-lyon.fr/laurent.modolo/R/session_4/EWang_Tibialis_DEGs_GRCH37-87_GSE86356.csv")
+
+expr_DM1
+```
+ </p>
+</details>
--
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