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  • rebrendi
    ng
    • May 2008
    • 78

    Genomatix RNA-Seq workflow

    Hello,

    has anyone used Genomatix for RNA-Seq analysis?
    I am particularly interested in the interpretation of the output of the Audic-Claverie algorithm for differential gene expression analysis described here: http://www.genomatix.de/online_help/.../claverie.html
    Can someone tell me how is calculated the "NE value" for differential expression?
    How it relates to RPKM?

    Thank you!
  • Bernward
    Junior Member
    • Feb 2012
    • 1

    #2
    Hi,

    The NE is explained at:


    Normalized expression/enrichment value (NE-value)
    The NE-value is calculated based on the following formula:

    NE = c * #readsregion / (#readsmapped * lengthregion)

    where NE is the normalized expression or enrichment value,
    #readsregion: the reads (sum of base pairs) falling into either the transcript or the cluster region,
    #readsmapped: all mapped reads (in base pairs),
    lengthregion: the transcript or cluster length in base pairs
    and c a normalization constant set to 10E7.

    This is quite similar to RPKM.

    Regarding Audic & Claverie statistics: This was originally designed for the count data in cDNA / Sage libraries. "The Significance of Digital Gene Expression Profiles" Audic & Claverie, 1997.
    The idea is to calculate the conditional probability to find y counts for your sequence feature (gene, transcript, ChIP region) in your treatment data when you saw x counts in the control for the same sequence feature.

    However, for NGS data this calculation overestimates the number of significantly deviant features, since it is based on a Poisson model. As discussed here several times the Poisson model doesn't fit well for NGS data.

    If replicates are available I strongly recommend using DESeq or EdgeR. For ChIP-seq clusters however, you must merge or intersect the clusters from your replicates. The workflow is explained at:


    Regards,
    Bernward

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