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        <rdfs:label xml:lang="en">FPKM-fragments per kilobase of transcript per million fragments mapped</rdfs:label>
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        <ns3:IAO_0000118 xml:lang="en">FPKM</ns3:IAO_0000118>
        <ns3:IAO_0000115 xml:lang="en">FPKM, which is the expected fragments per kilobase of transcript per million fragments mapped is a metric used to report transcript expression event as generated by RNA-Seq using paired-end library. The calculated value results from 2 types of normalization, one to take into account the difference in reads counts associated with transcript length (at equal abundance, longer transcripts will have more reads than shorter transcripts) , (hence the &#39;per kilobase of transcript&#39;) and the other one to take into account different sequencing depth during distinct sequencing runs (hence the &#39;per millions mapped fragment&#39;. The metric is specifically produced by cufflink software.

Recommended use:

-FPKM measure may be used for gene count comparisons within a sample. 

-FPKM measure is NOT suited for between sample comparisons.
-FPKM measure is NOT suited for Differential Expression analysis.</ns3:IAO_0000115>
        <ns3:IAO_0000116>The definition of FPKM 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 FPKM from measures such as TPM</ns3:IAO_0000116>
        <ns3:IAO_0000117>Orlaith Burke</ns3:IAO_0000117>
        <ns3:IAO_0000117 xml:lang="en">Alejandra Gonzalez-Beltran</ns3:IAO_0000117>
        <ns3:IAO_0000117 xml:lang="en">Philippe Rocca-Serra</ns3:IAO_0000117>
        <ns3:IAO_0000119 xml:lang="en">adapted from:
http://seqanswers.com/forums/showthread.php?t=3254
and from
http://www.nature.com/nprot/journal/v7/n3/full/nprot.2012.016.html
and from
https://hbctraining.github.io/DGE_workshop/lessons/02_DGE_count_normalization.html</ns3:IAO_0000119>
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