diff --git a/_reader/RNAseqWorkshop.pdf b/_reader/RNAseqWorkshop.pdf
deleted file mode 100644
index cb58970bab7087441631133a445aa8af56be043d..0000000000000000000000000000000000000000
Binary files a/_reader/RNAseqWorkshop.pdf and /dev/null differ
diff --git a/_reader/sections/01_section_linux.tex b/_reader/sections/01_section_linux.tex
index a8d6ac681566b2f447f5a4b1e5cf2d01eda3bf55..0455367a68ff1fe0196f7eb3cc3650741037e460 100644
--- a/_reader/sections/01_section_linux.tex
+++ b/_reader/sections/01_section_linux.tex
@@ -435,7 +435,7 @@ library(ggplot2)
 
 Let's assume you have an Excel file and want to do something to it using R. First, always, always
 use tab-delimited text files to move from program to program, no matter which programs you use. Look at
-the small tab-delimited txt file in the \$HOME/rnaseq-workshop/\_WorkshopReader/intro\_scripts\_data called "example\_table.txt" 
+the small tab-delimited txt file in the \$HOME/rnaseq-workshop/\_reader/intro\_scripts\_data called "example\_table.txt" 
 using a text editor (e.g. `gedit') or LibreOffice Calc (which is just like Excel 
 except free, open source, and Linux compatible). Next we'll import this into R
 \begin{lstlisting}