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  • bitpir
    started a topic calculate relative activity from metatrancriptomic

    calculate relative activity from metatrancriptomic

    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!

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  • seqadmin
    Multiomics Techniques Advancing Disease Research
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    New and advanced multiomics tools and technologies have opened new avenues of research and markedly enhanced various disciplines such as disease research and precision medicine1. The practice of merging diverse data from various ‘omes increasingly provides a more holistic understanding of biological systems. As Maddison Masaeli, Co-Founder and CEO at Deepcell, aptly noted, “You can't explain biology in its complex form with one modality.”

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