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  • AmyEllison
    Member
    • Nov 2012
    • 16

    HiSeq RNA-seq DGE experiment - what do you think?

    Hi, I've been lurking on here for a while and would now like to run something by the great wealth of knowledge that is seqanswers...

    I am going to look at differential gene expression in infected vs non-infected amphibian species. I've found only a few amphibian transcriptomes and unfortunately none are closely related to my species so I am going to have to go down the de novo assembly route.

    So... I have 11 individuals (5 uninfected, 6 infected) with 3 tissues = 33 samples. Having looked at my funds and spoken to experienced bioinformaticians here, I am going to run them over 4 lanes of 100bp single-end HiSeq.

    Although PE reads I understand are better for de novo assembly, I've been told you can get good results with SE. Also suggested to me that I should pool all reads from all tissues and individuals to make the assembly.

    So what do you think? Any comment much appreciated! (e.g. sufficient coverage for DGE etc) I've been looking at assemblers, and thought Trinity could be my best bet...but perhaps also run Abyss and Oases/Velvet and then try to merge all results into a final assembly?

    Thanks for any advice!

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  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
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    Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by SEQadmin2


    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

    Here are nine questions we think about, in roughly the order they matter, before...
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