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  • aggp11
    Member
    • Jun 2011
    • 87

    #1

    DESeq vs. PARTEK ANOVA

    I have RNA -seq data from the HiSeq with 2 normal and 2 diseased replicates (a total of 4 samples). I tried both DESeq and PARTEK GS to obtain differentially expressed genes. However, I see very different results.

    I saw the following discussion:

    Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc


    and have read about both the tools and understand that both are workign differently. However, I am still not sure which one would be better to understand the expression changes.

    For Partek, I used a 2-way anova (condition & replicates) on the RPKM values.

    For DESeq I provide counts using HtSeq in the suggested order and perform the analysis following the documentation.

    I would really appreciate any suggestions on this.
  • dietmar13
    Senior Member
    • Mar 2010
    • 107

    #2
    statistics -

    my question is, why should a new technology override statistical principles:

    two replicates, especially if unpaired, are never enough to find statistical significant differences...

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