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  • kenietz
    Member
    • Nov 2011
    • 86

    #1

    Differential expression, pair end

    Hi all,
    as i am relatively new to the field i have a couple of questions:

    1. Is it possible to do RNA-seq analysis when starting from cDNA? The lab guys dont have enough RNA so they wanna amplify first.
    In my opinion that should not be a problem but i am not sure. On the web i found only one post where someone stated they started from cDNA.

    2. Is it possible to do a Differential expression(DE) with Illumina PE data? For 'denovo' which i should also do is perfect but i am not sure about the DE.

    Thank you for your time and any help is appreciated.
  • ScottC
    Senior Member
    • Jan 2008
    • 244

    #2
    Yes, you can start from cDNA. How much cDNA do you have?

    Comment

    • kenietz
      Member
      • Nov 2011
      • 86

      #3
      I do not know how much cDNA they have. But i suppose they will have enough after amplification. Am i to assume that i would be able to do and DE with Illumina PE data from cDNA?

      Comment

      • pbluescript
        Senior Member
        • Nov 2009
        • 224

        #4
        I've done differential expression analysis using paired end sequencing after starting with hundreds of picograms of RNA after amplifying it and converting it to cDNA. It worked well, even though I had a lower than usual number of reads that mapped.

        Comment

        • kenietz
          Member
          • Nov 2011
          • 86

          #5
          I see, thank you very much for the information. I had the feeling it should work but was not sure. Btw, which tool did you use for DE analysis? I saw there are many out there like DESeq, edgeR, NOISeq, FET etc?

          Comment

          • pbluescript
            Senior Member
            • Nov 2009
            • 224

            #6
            My most commonly used tool is cuffdiff since it is very easy to include multireads. However, I've found the best results when I use more than one tool and compare the results. I'm a bit partial to rsem and baySeq, but I've found DESeq and edgeR to be useful too.

            Comment

            • kenietz
              Member
              • Nov 2011
              • 86

              #7
              thanks. i was reading a paper "Differential expression in RNA-seq: A matter of depth" by Sonia Tarazona and there i saw that NOISeq and FET seem to perform the best. But cuffdiff is most widely used i think. So i suppose i will try cuffdiff and NOISeq and see whats the result.

              Comment

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