Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Jeromek
    Junior Member
    • Jul 2014
    • 9

    #1

    Samtools Depth

    Hey Guys,

    I have just installed samtools on the command line and am messing around with the features. One thing I am curious about is deletion detection. Specifically, I am looking to use the depth function with position arguments to check coverage at a specific point. The function however seems to return a list of all locations and their associated depth. Is what I am looking for possible, or do you have to digest the entire data first?

    Also, if anyone has good documentation I would appreciate that, as I could not locate any with a quick search. Kind regards, J
  • Cytosine
    Member
    • Mar 2014
    • 22

    #2
    Samtools does have a really great, almost instant, access to any region of the .bam file because of it's .bai index file.

    If you want to extract coverage at a specific point in your genome, then take a look at the samtools depth usage information.

    Code:
    Usage: samtools depth [options] in1.bam [in2.bam [...]]
    Options:
       -b <bed>            list of positions or regions
       -f <list>           list of input BAM filenames, one per line [null]
       -l <int>            minQLen
       -q <int>            base quality threshold
       -Q <int>            mapping quality threshold
       -r <chr:from-to>    region
    The -r option is the one with which you get coverage report of a specific region.

    For example:
    Code:
    samtools depth -r chr1:10000-20000 mymapping.bam
    Will extract the coverage information between 10000-20000 bp for the >chr1 entry from mymapping.bam file.

    Check out samtools' webpage for more info:

    Comment

    • Jeromek
      Junior Member
      • Jul 2014
      • 9

      #3
      Thanks very much! Really Useful

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
        by SEQadmin2



        CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

        Despite this, “CRISPR helped turn genome editing from a specialized technique into
        ...
        07-31-2026, 11:01 AM
      • SEQadmin2
        Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
        by SEQadmin2


        Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

        The systematic characterization of the human proteome has
        ...
        07-20-2026, 11:48 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Today, 10:05 AM
      0 responses
      8 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-13-2026, 12:22 PM
      0 responses
      32 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-11-2026, 10:35 AM
      0 responses
      24 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-06-2026, 07:41 AM
      0 responses
      38 views
      0 reactions
      Last Post SEQadmin2  
      Working...