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Hi,
I have a few libraries of small RNA reads with different read counts: some libraries have more than 10 million reads, some others have <1 million. I wanted to normalize them for their sizes only (at this point). I was wondering if Reads per Million (or RPM) would be a good choice:
RPM = (# of reads mapped)/(#of reads in millions in the library).
However, this would be one quantity for the entire library. I can then multiply it with the read count at each location to get the normalized read count (or expression). Would this be a good choice?
If you have a better choice/approach/tool, please let me know.
Thanks,
Nitin
I have a few libraries of small RNA reads with different read counts: some libraries have more than 10 million reads, some others have <1 million. I wanted to normalize them for their sizes only (at this point). I was wondering if Reads per Million (or RPM) would be a good choice:
RPM = (# of reads mapped)/(#of reads in millions in the library).
However, this would be one quantity for the entire library. I can then multiply it with the read count at each location to get the normalized read count (or expression). Would this be a good choice?
If you have a better choice/approach/tool, please let me know.
Thanks,
Nitin