Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • syslm01
    Member
    • Apr 2010
    • 16

    #1

    coverage file

    Hi all,

    I use tophat to analyze one dataset with 27bp length, and I am confused about the coverage.wig file it generated.

    Here is one example:

    chr1 11116146 11116147 47
    chr1 11116147 11116149 45
    chr1 11116149 11116150 42
    chr1 11116150 11116151 40
    chr1 11116151 11116152 5
    chr1 11116152 11116154 4
    chr1 11116154 11116657 0
    chr1 11116657 11116658 3
    chr1 11116658 11116659 4

    Does the third column stand for the number of reads that cover the site ?
    So does it mean there are 47 reads in 11116147 and 11116146 respectively ?
    But my reads is only 27bp, so the max number of reads coverage at one site should be < 27, I am confused why there are some sites that the number of reads coverage is > 27.

    Does anyone have some ideas ?
  • maubp
    Peter (Biopython etc)
    • Jul 2009
    • 1544

    #2
    If you have a million reads, your coverage values will be in the range from 0 (for regions with no coverage) to a possible maximum of one million deep (if you are unlucky and all your reads map in one place).

    The fact that your reads are just 27bp long doesn't matter here.

    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, 08-13-2026, 12:22 PM
    0 responses
    25 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-11-2026, 10:35 AM
    0 responses
    21 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-06-2026, 07:41 AM
    0 responses
    36 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-03-2026, 10:13 AM
    0 responses
    51 views
    0 reactions
    Last Post SEQadmin2  
    Working...