Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • misko
    Junior Member
    • Jun 2010
    • 7

    #1

    Paired read names / SAM qname format

    Hi everyone,
    I am trying to figure out what possible paired read name formats are in use and good to support for open source alignment programs. The most common paired read name format i encounter is something like the following,
    >READ_A/1
    AAAAACCCCCCC
    >READ_A/2
    TTTTTGGGGGAA
    Is this the only format used by different sequencing platforms? Are there other formats such as,
    >READ_B:1
    AAAAACCCCCCC
    >READ_B:2
    TTTTTGGGGGAA
    Also with respect to SAM format, does anyone know what the proper query name for these reads should be?
    Most aligners that I have tried seem to agree that for paired reads that end in "/1" or "/2", these last two characters are truncated to get the SAM query name.
    For example the first read pair would be reported as,
    READ_A
    But the second read pair would have two query names,
    READ_B:1 and READ_B:2 in the SAM file
    I was thinking that maybe the safest approach would be to find the largest common prefix and truncate there to get the pair read name. But I am not sure if this will always work, for example, if the read names are,
    >READ_C_Z12411/1
    AAAAACCCCCCC
    >READ_C_Z12516/2
    TTTTTGGGGGAA
    The pair read names based on largest common prefix would be,
    READ_C_Z12
    Where as most aligners would report two separate names as,
    READ_C_Z12411 and READ_Z12516
    Thanks for the help!

    Misko
  • jkbonfield
    Senior Member
    • Jul 2008
    • 146

    #2
    As you've observed, Sam QNAME isn't what traditional assemblers and viewers refer to as a read name. Instead it's really the template name - in your example qname is READ_A or READ_B. I think the automatic detection of /1 and /2 to trim down a read-name to a qname is there simply because /1 and /2 was the MAQ convention. Ideally no one should rely on this convention now.

    A common prefix is prone to error too. When dealing with fastq there's a huge variety of options:

    - 1 fastq line per template, with an implicit assumption we chop in half to get both reads (the original illumina format IIRC)

    - 1 fastq file with fwd and rev reads alternating, so they always come in pairs.

    - 2 fastq files with each end stored in its own file.

    - 1 fastq file for single-ended data. This obviously causes confusion with the first two conventions.

    Every aligner seems to want something marginally different, and fastq frankly is hopeless as a format for embedding such meta data so it's tricky for tools to work out which read layout you use without either explicit command line options or trying to "be clever". In my experience that nearly always ends up shooting you in the foot sooner or later.

    As for SAM. I'd like to see the true read suffix (or entire name if inappropriate) having a standard auxillary key:value tag to go from template names back to the original read names. Adding that and the ability to have more than 2 reads per qname and we gain the ability to use SAM for mixed assemblies with capillary finishing reads in it.

    James

    Comment

    • misko
      Junior Member
      • Jun 2010
      • 7

      #3
      Thanks for the answer, this helps clarify

      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
      31 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  
      Started by SEQadmin2, 08-03-2026, 10:13 AM
      0 responses
      51 views
      0 reactions
      Last Post SEQadmin2  
      Working...