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        <ns3:IAO_0000116>The definition of RPKM has been modified in October 2019 to reflect the possible uses as detailed in https://hbctraining.github.io/DGE_workshop/lessons/02_DGE_count_normalization.html
and distinguish more clearly RPKM from measures such as TPM</ns3:IAO_0000116>
        <ns3:IAO_0000117 xml:lang="en">Alejandra Gonzalez Beltran</ns3:IAO_0000117>
        <ns3:IAO_0000117>Alejandra Gonzalez-Beltran</ns3:IAO_0000117>
        <ns3:IAO_0000117>Orlaith Burke</ns3:IAO_0000117>
        <ns3:IAO_0000117 xml:lang="en">Philippe Rocca-Serra</ns3:IAO_0000117>
        <ns3:IAO_0000118 xml:lang="en">RPKM</ns3:IAO_0000118>
        <ns3:IAO_0000115 xml:lang="en">RPKM is a kind of count which numbers the sequence reads found per kilobase of transcript reported to million of sequence reads. RPKM is a metric generated by ERANGE software tool as reported by Mortazi et al, in 2008.
The metric has been enhanced and replaced by FPKM to better take into account splice variant. FKPM uses a statistical model to perform the computation.

Recommended use:

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-RPKM measure is NOT suited for between sample comparisons.
-RPKM measure is NOT suited for Differential Expression analysis.</ns3:IAO_0000115>
        <ns3:IAO_0000119 xml:lang="en">http://www.nature.com/nmeth/journal/v5/n7/full/nmeth.1226.html</ns3:IAO_0000119>
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