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  • Seq1234
    Junior Member
    • Dec 2008
    • 5

    samtools merge error underestimating the sequence counts

    Counts from pileup from the combined bam of 6 different libraries.

    Chr1 5378242 80
    Chr1 5378243 112
    Chr1 5378244 193
    Chr1 5378245 5997 <--- Notice problem from next line
    Chr1 5378246 7999
    Chr1 5378247 8000
    Chr1 5378248 8001
    Chr1 5378249 8002
    Chr1 5378250 8003
    Chr1 5378251 8004

    Counts from mpileup with 6 different libraries processed separately
    (The third column gives the total counts and the next 6 columns correspond to individual
    counts from libraries)
    When the total counts are high they are reduced in the combined bam file.

    Chr1 5378242 80 43 3 9 3 6 16
    Chr1 5378243 112 66 4 10 7 6 19
    Chr1 5378244 193 104 6 16 16 22 29
    Chr1 5378245 5997 2781 953 563 965 23 712
    Chr1 5378246 16714 9388 2914 1268 1854 24 1266 <--- higher counts here
    Chr1 5378247 23732 13433 3101 2057 2689 26 2426
    Chr1 5378248 32700 18643 3210 3253 3614 26 3954
    Chr1 5378249 54741 33457 3581 5158 6788 28 5729
    Chr1 5378250 64307 40959 3688 5872 7531 28 6229
    Chr1 5378251 70975 45306 3829 6595 8176 29 7040

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  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by GATTACAT
    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...
    06-18-2026, 07:11 AM

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