There were significant gender differences regarding student's involvement with research that analyzed omics data in this cohort (Table ). Despite female students' having more prior experience with research involving omics data, programming, computational work or extensive data analysis (see Table .3), male students (Mean rank= 231.27) were more likely to be currently conducting research that requires an understanding of omics data than female students (Mean rank= 201.06; z=-2.69, p =0.007, r= -0.13) at the beginning of the course. However, by the end of the course, this difference was non-significant, meaning there was no longer a significant difference between female and male students whose research required an understanding of omics data. There was no significant difference in students currently generating omics data based on at pre-test (male; Mean rank= 93.61; female; Mean rank= 83.83; z= -1.32, p=0.186, r=-0.09). However, despite differences between these groups being non-significant at post-test, mean rank scores for male students revealed that more men were still conducting research depending on understanding or generating omics analysis than women at both pre-test and post-test (Table .1 and 20.2).