Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • eoh001
    Member
    • Mar 2011
    • 19

    QV distribution

    hello
    I have an interesting distribution of QV from the whole transcriptome reads from a gastric cancer cell line.
    The librariy was prepared by the multiplex paired-end sequencing kit(16 barcodes). 3F(50bp), 5F(35bp) and barcode(5bp) sequences were obtained with SOLiD 4 system.
    I checked the quality values of the reads by base position, and I observed that the 3F had a weard cyclic fluctuation.
    The QVs of all positions in the 3F reads were very poor except (2, 7, 12, 17, 22, 27...42,47.) positions.
    The 5F and barcodes showed good QVs across all positions, although they had 5-base cyclic fluctuation across a read due to the primer reset.
    I think something wrong happened with 3F sequencing. What could be the reasons on the poor QV in the 3F reads?. Any one can explain the observation? I'll really appreciate any ideas. THANKS.
    Attached Files
    Last edited by eoh001; 05-12-2011, 06:43 PM.
  • Brian B
    Junior Member
    • May 2011
    • 1

    #2
    Solid reads using 5-bp long fluorescing thingies. They get attached one at a time until the entire end is full, then they are removed, finishing the cycle. Then offset is changed, and they are placed one-by-one again. So you might read like this:

    1, 6, 11, 16 ... 41, 46
    then remove them, and read
    2, 7, 12, 17 ... 42, 47
    etc.
    This is done for 5 cycles so that every unique position is read once.

    So, the quality values should be most consistent for every set of positions that is equivalent modulo 5, and should be highest for the first cycle and lowest for the last cycle. In practice I don't really observe that, but I have not looked for it rigorously.

    Comment

    • asr
      Junior Member
      • Feb 2010
      • 6

      #3
      The QV plots of SOLiD data do have that saw tooth shape for the reasons outlined previously. Normally, you would see a decline of up to 5 points then reset to something slightly lower than the original score. I'm afraid to say that your F3 read looks quite poor.

      However, your F5 reads looks good. Is this with the new chemistry as it is much better than anything I've see with the original PE kits?

      Comment

      Latest Articles

      Collapse

      • 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...
        Yesterday, 07:11 AM
      • SEQadmin2
        From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
        by SEQadmin2


        Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


        The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
        ...
        06-02-2026, 10:05 AM
      • SEQadmin2
        Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
        by SEQadmin2


        With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


        Introduction

        Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
        05-22-2026, 06:42 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 06-17-2026, 06:09 AM
      0 responses
      20 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-09-2026, 11:58 AM
      0 responses
      38 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-05-2026, 10:09 AM
      0 responses
      44 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-04-2026, 08:59 AM
      0 responses
      49 views
      0 reactions
      Last Post SEQadmin2  
      Working...