Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • illuminaGA
    Member
    • Dec 2012
    • 71

    #1

    Some "QNAME" information lost after mapping by Bsmap

    Dear All

    I mapped my bisulfited DNA sequencing reads by Bsmap, the out put file was SAM format. Before that, I trimmed 18bp repeat reads.But after mapping, some information in the "QNAME" lost.

    Here is an example

    Trimmed reads mapping

    ILLUMINA-XXXXX3:7:FC665XXXXXX:1:1 345 chr17 7111078 255 51M * 0 0 ACACACATACATACACACATACACAGGCCTTCACCAAACACACCCAACGNA BGDGDGGGEGGDDGDGEGGGEHHHHHGGGGGGFGGGGGGGG7<>7>>>(#> NM:i:10 ZS:Z:-+

    unTrimmed reads mapping

    ILLUMINA-XXXXX3:7:FC665XXXXXX:1:18:11311:15796 153 chr19 42422318 255 101M * 0 0 TGGTGTATGTGGGGTGTACACATACCTCTCATGTATACGCCACATATACACCACACATACCACATATACACACCACAGACAAACCAAACACACCCAACACA DG@BDBBCACFF@FDFFBF3324*53/)'*315/HGEIHDBBDDDBIDI?CC@<EGDECGDBGGDGGBEBG>GG@<BGDFIIEIIIIIIIIHIIIIIIGII NM:i:13 ZS:Z:+-


    The red part lost in the sam file which generated by trimmed reads. So someone know what happen here?

    Any help would be greatly appreciated!
  • Brian Bushnell
    Super Moderator
    • Jan 2014
    • 2709

    #2
    What tool/command did you use for trimming? And can you paste a read from the trimmed fastq? It sounds like you're trimming headers in addition to bases.

    Comment

    • illuminaGA
      Member
      • Dec 2012
      • 71

      #3
      Originally posted by Brian Bushnell View Post
      What tool/command did you use for trimming? And can you paste a read from the trimmed fastq? It sounds like you're trimming headers in addition to bases.
      Thank you for replying.

      The trimmed fastq reads are followed.

      @ILLUMINA-8XXXXX:7:FCXXXXXAXX:1:1:6136:1035 1:N:0:GTGAAA
      GTACCTGTGTAAGTGTATGCATGTATGCGAATGTATGTGTATGTGCATGTGAATGTATGTATGTGTGTATGTGCA
      +
      GGGGGGGGGGGGGDIIGIGIIIIHBEGEG>GGEG<GGDDD@GB@G?<G@B@;-BDEDEDGDDG?GG,E@=F##

      @ILLUMINA-8XXXXX:7:FCXXXXXAXX:1:1:7632:1039 1:N:0:GTGAAA
      TGTTGGGTGTGTTGGGTGTGTTGGGTGTGTGTGTGTGTGTGTGTGTGTGGTGTGTGGTGTGTGTGTGTGTGTGTGCGGTGTGTGTGTGTGTGTGTGTGT
      +
      C>CEF?BBGGGGEGGGDGDGGGGGGDGGGGGGGGGGGDGEGCGDGGGDGGGDGG>EFAECGCFEFCDCEFE>F3B6?BDD@BD0@=0=,B=B=2=B?BB
      @ILLUMINA-8XXXXX:7:FCXXXXXAXX:1:1:6672:1077 1:N:0:GTGAAA
      ATGTGTATGTATGTATGTATGTGTATGTGTGTATATGTGTGTGTATGTGTGTATATGTGTGTGTGTGTGTGTTGA
      +
      DGGGGDGGGFGGGGBHGHHHHGHHBGGBGEGD>GBGGEGEGEGEGGGBDDGDD>GGGDGBGBGDGDGBGBG>EGD
      @ILLUMINA-8XXXXX:7:FCXXXXXAXX:1:1:15911:1085 1:N:0:GTGAAA
      GTTGGGTGTGTTTGGGTTTGTGGTGTGTTGTGTGTGTATGTATGCATGTGTGTTTATGTGTTGTTATCTTCACATTTGTATGATTCATGCGGGCTGTCT
      +
      @A@=@<7@>B=;3EA7EEGGGGGE?EDDEEB?EGG=GGEB<>E3=@BAG?DB<:>ACBB=EE:/+@=4@;.40-5258;>+CA;?=:B###########

      @ILLUMINA-8XXXXX:7:FCXXXXXAXX:1:1:18002:1087 1:N:0:GTGAAA
      TGTTGGGTGTGTTGGGTGTGTATGTATGTGTATGTGTGTATATGTGTGTGTATGTAGTTTCAAAAACATACGCCCAAGACCACAAGTACAGATACATCT
      +
      B?BFFFEBGGGGGDGG8GGGGGGGGGGGGGGGGHHHHHHHH?GHHHEHGHHG@GGGGFEGG?DGDGEAAGB:BCEDE?F=AF@BBD?D8FFD#######

      @ILLUMINA-8XXXXX:7:FCXXXXXAXX:1:1:7076:1090 1:N:0:GTGAAA
      GGGTGGATTGAAGCATGGAATATATAGATTCAAATATGGGTCACACACACAGCTGCCACCCGCCAGTATCTGAAG
      +
      @?D5=@=BDDBDDDDDDD<DD@D<DDBDD@DD6BB4B@>BDB:?=4B=?@DBB0ABDD@)4912>B>:B*<=D

      We write a code by Python to trim the repeat reads. We didn't remove any info. from the fastq title line.

      I just guess something wrong in the format.

      Thanks a lot!

      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
      • SEQadmin2
        Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
        by SEQadmin2



        Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
        ...
        07-09-2026, 11:10 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Yesterday, 07:41 AM
      0 responses
      12 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-03-2026, 10:13 AM
      0 responses
      28 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-31-2026, 02:55 AM
      0 responses
      39 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-24-2026, 12:17 PM
      0 responses
      26 views
      0 reactions
      Last Post SEQadmin2  
      Working...