Tweet
Hello,
I have a bunch of meta-transcriptomics data and I would like to identify which organism is the most active. I plan to calculate TPM/RPKM for each organism and the figure out the "most-active" organism that way. However, I find that this method is over-simplified as I am not taking into account the relative abundance (genome copy number) into my calculation, right? I.e., the organism may have high TPM but it might well be because of its high copy number, not necessarily it's activity. If so, what's the best way to calculate relative activity from meta-trancriptomic data then?
Thank you so much for your help!
I have a bunch of meta-transcriptomics data and I would like to identify which organism is the most active. I plan to calculate TPM/RPKM for each organism and the figure out the "most-active" organism that way. However, I find that this method is over-simplified as I am not taking into account the relative abundance (genome copy number) into my calculation, right? I.e., the organism may have high TPM but it might well be because of its high copy number, not necessarily it's activity. If so, what's the best way to calculate relative activity from meta-trancriptomic data then?
Thank you so much for your help!