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@@ -15,8 +15,8 @@ These scripts won't run immediately when cloning this repo. Hopefully these tips
 The files are organized with an example CAN data sample and three folders. Each folder is a self-contained set of interdependent Python classes or R scripts for examining CAN data in the format shown in the example LoggerProgram0.log. Different file formats can be used by adjusting PreProcessor.py accordingly.
 
 * Folder 1: **Pipeline**
-  * Simply copy LoggerProgram0.log into this folder and run homy.py.
-  * This is the most basic implementation of the pipeline described in the dissertation. Over 80% of the code is referenced from home.py. Follow the calls made in home.py to see how the data are sequentially processed and saved to disk.
+  * Simply copy LoggerProgram0.log into this folder and run main.py.
+  * This is the most basic implementation of the pipeline described in the dissertation. Over 80% of the code is referenced from main.py. Follow the calls made in main.py to see how the data are sequentially processed and saved to disk.
   * The remaining 20% is unused portions of code which were left in place to either serve as a reference for different ways of doing things in Python or interesting experiments which were worth preserving (like the Smith-Waterman search).
 
 * Folder 2: **Pipeline_multi-file**