Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • swapna
    Junior Member
    • Feb 2011
    • 2

    samtools pileup base quality

    Hello,

    I would like to understand the pileup base quality scores for SNPs.

    For example, I have this SNP call at one of the positions
    T to Y (which is C or T).
    The read depth is 61.
    The base quality column is
    C$C$C$.$C$C$CCC..CC.CC..C.CCC.CC.CCCCCC.....,,,,,,......,.......,,,

    I suppose in this case . probably means 'same as the original base', which would be 'T' in this case. But I don't understand what the , and $ stand for.

    What is the best way to determine the relative proportion of each base in case of ambiguous SNPs?

    Can I just calculate the number of reads with the individual calls?

    In the other calls I have come across the following symbols which I need help to interpret.
    $ , . ~ ^ CAPITAL_LETTERS small_letters

    Is there a parameter I can use in pileup to give me a score for the individual calls? I did not find anything helpful in the manual.


    Apologies in case this question has already been asked/answered in the past. It would be great if somebody could direct me to the right thread.

    Thanks!

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...
    06-18-2026, 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
21 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
45 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...