I have the following dataframe that is comprised of enzyme substrates as the variable and then the unique number of times enzymes capiable of degrading this substrates appeared in my genomes and then tot total count of times all of those enzymes appeard in my samples. For example, a 7 unique enzymes were found to be capiable of degrading chitin, and they occured a total of 298 times across my genomes.
I wish to see if any particular substrate has significantly larger occurance in both unique and total, than the rest of the substrates. Would outlier detection be appropriate for this or would a simple T-test do?