Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • scuellar
    Junior Member
    • Mar 2010
    • 5

    #1

    compare distribution of coverage in solexa data

    Hi (i'm new in this forum and new in sequencing analysis, please be patient )

    I’m comparing some solexa re-sequence experiment in which different DNA sharing treatment were used.

    I there any statistic I can use to compare coverage evenness between sequencing experiments?
  • drio
    Senior Member
    • Oct 2008
    • 323

    #2
    Originally posted by scuellar View Post
    Hi (i'm new in this forum and new in sequencing analysis, please be patient )

    I’m comparing some solexa re-sequence experiment in which different DNA sharing treatment were used.

    I there any statistic I can use to compare coverage evenness between sequencing experiments?
    Assuming you have some ref sequence: Map your data with your aligner of choice and generate (S|B)am output. After that, pileup the alignments with samtools. Use column number 2 and 8 in the pileup to find out what's the reference coordinate and the number of reads covering the position. Then plot that with gnuplot (or R).
    -drd

    Comment

    • scuellar
      Junior Member
      • Mar 2010
      • 5

      #3
      Thanks Drio

      Very helpful. Now i solved the problem the solutions sound so evident

      Thanks again

      Comment

      • bioinfosm
        Senior Member
        • Jan 2008
        • 483

        #4
        Or you could use something like IGV or USCS to visualize the coverage information.
        --
        bioinfosm

        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, Yesterday, 10:35 AM
        0 responses
        7 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-06-2026, 07:41 AM
        0 responses
        25 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-03-2026, 10:13 AM
        0 responses
        45 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-31-2026, 02:55 AM
        0 responses
        48 views
        0 reactions
        Last Post SEQadmin2  
        Working...