Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • ElMichael
    Member
    • Jun 2009
    • 31

    Base coverage from Bam

    Hi,
    I wonder if there is any option in, e.g., samtools to display regions (positions) with the base coverage >= given threshold. Something opposite to the mpileup option (when we have positions and want to see base coverage and quality). I have very small number of reads mapped to the genome and I want to see those tens or hundreds regions covered by, at least, 10-15 reads.
    Thanks.
  • adamdeluca
    Member
    • Jul 2010
    • 95

    #2
    you could use genomeCoverageBed/Bam from bedtools with the -bg option to produce a bedgraph file, that can be filtered easily: awk '($4>-10)'

    Comment

    • drio
      Senior Member
      • Oct 2008
      • 323

      #3
      Assuming you used (-c):
      Code:
      $ awk '{if ($8>4) print}' my.pileup
      -drd

      Comment

      • ElMichael
        Member
        • Jun 2009
        • 31

        #4
        adamdeluca, drio, thanks a lot!

        Comment

        • ElMichael
          Member
          • Jun 2009
          • 31

          #5
          I ran genomeCoverageBed from the bedtools and it was fine. However, I noticed rather strange detail. To run genomeCoverageBed you need to provide a genome file in the following format:
          <chromName><TAB><chromSize>

          I work with a masked reference genome. Firstly, I provided actual sizes (number of unmasked bases + number of Ns (masked)). In addition, I also made a genome file with sizes without masked bases.
          After running genomeCoverageBed with these two different genome files I got the same results.
          E.g.,
          chr_name 100 102 37
          (that is, bases at the positions 101 and 102 on the given chr are covered with 37 reads).
          I checked results using IGV, and found out they are true: the count for the bases 101 and 102 is really 37.
          The question is: what is the purpose of the genome file, and why the chromSize value doesn't influence on the output (at least, it's my, perhaps, wrong impression)?

          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...