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@@ -34,7 +34,8 @@ File                                 PASS    LowQual  Percent_LowQual  Non-exclu
 #### Example plot from above R code
 - Note that '--save_high_lowqual True' must be used with the above python script to save compatible vcf files (converted from bcf) for use with the R script. The default is 'False' as the files can be very large (~700Mb).  It may be worth changing the percentage cutoff (10% non-excluded lowqual SNVs) in the code for saving vcfs depending on the QC issue being diagnosed.  Red points indicate the alternative allele, black points indicate the reference allele.
 - For other more sophisticatd vcf visualisation options please see: https://github.com/zadyson/SNV_plotter 
-![image](https://user-images.githubusercontent.com/8507671/141644457-7f01fa9c-bc63-4ea9-b455-7f0cac2391a8.png)
+![image](https://user-images.githubusercontent.com/8507671/141645175-84e59491-2f0c-4b4b-80c8-bc42c61423ed.png)
+
 
 
 ## Example usage and key information