Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • hanleng
    Member
    • Mar 2012
    • 15

    #1

    mpileup format

    I am using samtools mpileup to analyze my data, and have several lines like this:

    chr1 14976 G 5 <<><> HHHHH
    chr1 14977 C 5 <<><> HHHHH
    chr1 14978 C 5 <<><> HHHHH
    chr1 14979 T 5 <<><> HHHHH
    chr1 14980 C 5 <<><> HHHHH
    chr1 14981 A 5 <<><> HHHHH
    chr1 14982 T 5 <<><> HHHHH
    chr1 14983 G 5 <<><> HHHHH
    chr1 14984 A 5 <<><> HHHHH


    What are those ">" "<" or "*" mean in the reads base column? According to the description of the format (http://samtools.sourceforge.net/pileup.shtml), they should be only in the base qualities columns.
  • rnaseek
    Member
    • Nov 2011
    • 22

    #2
    samtools manual says they are " ’>’ or ’<’ for a reference skip".

    Comment

    • hanleng
      Member
      • Mar 2012
      • 15

      #3
      Originally posted by rnaseek View Post
      samtools manual says they are " ’>’ or ’<’ for a reference skip".

      http://samtools.sourceforge.net/samtools.shtml
      Thank u! This is really helpful!

      Comment

      • Rui
        Junior Member
        • Jan 2013
        • 3

        #4
        I am sorry to kick this thread alive but did someone figure out what "*" means in the reads base column? I cannot find any information on the homepage of Samtools.

        Comment

        • Yvone
          Junior Member
          • Oct 2013
          • 6

          #5
          Originally posted by Rui View Post
          I am sorry to kick this thread alive but did someone figure out what "*" means in the reads base column? I cannot find any information on the homepage of Samtools.
          The deleted bases will be presented as ‘*’ in the following lines.

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