Hello!
For calcPartitions(), the result of the function is a dataframe with the frequency and frequency percent of each genomic feature for each of the supplied queries in my query list (e.g. enhancer makes up 20%, exon is 15%, fiveUTR is 10%, etc). Is there a way to call the GRanges list or data.frame or object that shows which of the input regions contributed to the different genomic features? I'm hoping to look just at the regions that were named as enhancers, but I don't know how to access which one of the input regions the function named as such.
Any help is appreciated!
Hello!
For calcPartitions(), the result of the function is a dataframe with the frequency and frequency percent of each genomic feature for each of the supplied queries in my query list (e.g. enhancer makes up 20%, exon is 15%, fiveUTR is 10%, etc). Is there a way to call the GRanges list or data.frame or object that shows which of the input regions contributed to the different genomic features? I'm hoping to look just at the regions that were named as enhancers, but I don't know how to access which one of the input regions the function named as such.
Any help is appreciated!