Corrected script order, added new contributors

README.md

@@ -98,11 +98,12 @@ Script 5 removes samples with sex mismatches and distribution artifacts and save
 <br />  
 
 **Script 6**  
-Script 6 normalizes the data to minimize unwanted technique-related variation (saves "RGSet_clean_quantile", "Betas_clean_quantile", "Mset_clean_quantile", and "Betas_clean_quantile_bmiq"); visualizes beta densities before and after normalization; and creates reports containing beta density plots per sample for both raw and normalized data in the reports folder. We use stratified quantile normalization, followed by BMIQ (beta-mixture quantile normalization). The user can choose to modify this in the script and use a different normalization method instead.  
-<br />  
+Script 6 removes (filters) poor performing probes with unreliable signal from normalized beta values and the normalized genomic ratio set. It removes also probes on sex chromosomes, affected by common SNPs, vulnerable to cross-hybridizing, or are polymorphic.  
+<br />
+
 
 **Script 7**  
-Script 7 removes (filters) poor performing probes with unreliable signal from normalized beta values and the normalized genomic ratio set. It removes also probes on sex chromosomes, affected by common SNPs, vulnerable to cross-hybridizing, or are polymorphic.  
+Script 7 normalizes the data to minimize unwanted technique-related variation (saves "RGSet_clean_quantile", "Betas_clean_quantile", "Mset_clean_quantile", and "Betas_clean_quantile_bmiq"); visualizes beta densities before and after normalization; and creates reports containing beta density plots per sample for both raw and normalized data in the reports folder. We use stratified quantile normalization, followed by BMIQ (beta-mixture quantile normalization). The user can choose to modify this in the script and use a different normalization method instead.  
 <br />  
 
 **Script 8**  
@@ -116,9 +117,9 @@ Script 9 and 10 correct for up to three additional technical batch effects speci
 ## Author Contacts:  
 <br />  
 
-This workflow was prepared by **Natan Yusupov** and **Alexandra Halberstam**.  
+This workflow was prepared by **Natan Yusupov**, **Alexandra Halberstam**, and **Vera Karlbauer**.  
 Special thanks to **Dr. Darina Czamara** for the scientific supervision and **Dr. Benno Pütz** for the insights regarding the code.  
-We can be reached at **natan_yusupov@psych.mpg.de** and **alexandrahalberstam@gmail.com**  
+We can be reached at **natan_yusupov@psych.mpg.de**, **alexandrahalberstam@gmail.com**, and **vera_karlbauer@psych.mpg.de**  
 Please do not hesitate to contact us with any questions. We would be more than happy to receive suggestions on how to improve this pipeline.  
 
 ## References