Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • eoh001
    Member
    • Mar 2011
    • 19

    #1

    Bioscope multi-hits

    Hi
    I found a strange mapping result by Bioscope.
    I analyzed the paried end reads from a whole transcriptome, and checked the mapping results.
    Threre were a number of reads which were both properly mapped and unmapped at the same time.
    For instance, a pair of reads (F3 & F5) '504_910_1119' were mapped poperly, however, there were extra alignments that the F3 was unmapped. I set the 'Alignment filter modes' as 'Primary', so the one best alignment was supposed to be selected among multi-hits. Is it a bug of Bioscope? Any one has observed this kind of results?

    **********************************************************
    504_910_1119 83 chr21 32600530 0 4H46M = 32600531 50 TTTTTTTAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA @IIIIB1=IIEIIIIHIIIIIIIIIIIIIIIIIIIIIII%%IIII; RG:Z:20110812083702784 NH:i:4 CM:i:3 SM:i:4 CQ:Z:;?;:?7%=;?;9:=929?5:<8==955=<790==:15===12==>3.;=< CS:Z:T3000030000000000000000000000000000000000000000000

    **********************************************************
    504_910_1119 163 chr21 32600531 0 25M10H = 32600530 -50 TTTTTTAAAAAAAAAAAAAAAAAAA IED86:IE//%%5,,%&-+*/=:/0 RG:Z:20110812083702784 NH:i:4 CM:i:2 SM:i:1 CQ:Z:B)=(1&5=)')%1%(%&''%&*4')(%7%%%%5(. CS:Z:G10000030000200003000000003303000020

    **********************************************************
    504_910_1119 69 * 0 0 * chr21 18218140 0 NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN * RG:Z:20110812083702784 NH:i:4 CQ:Z:;?;:?7%=;?;9:=929?5:<8==955=<790==:15===12==>3.;=< CS:Z:T30000030000000000000000000000000000000000000000000

    **********************************************************
    504_910_1119 101 * 0 0 * chr21 34903877 0 NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN * RG:Z:20110812083702784 NH:i:4 CQ:Z:;?;:?7%=;?;9:=929?5:<8==955=<790==:15===12==>3.;=<
    CS:Z:T30000030000000000000000000000000000000000000000000
    **********************************************************
  • mbblack
    Senior Member
    • Aug 2009
    • 245

    #2
    The "Alignment filter modes", if I'm remembering correctly (I don't have my BioScope manual at hand) refers to what gets taken from the .bam file into the wig file.

    To see what is in your .bam file, just look in your alignmentReport.txt file, the line right under the "-----" (should read "Reads mapped, not filtered") is what is actually in your .bam file.

    To get just the "unique" or primary reads, you can use the matobam tool and it has a parameter to pull out only the primary (called "unique") reads into a new .bam file for you.

    In a pipeline run, you can filter what goes into the merge .bam file using a mapping qv filter cutoff.

    I was told that LifeScope has settings to choose what gets dumped into the mapping .bam file, but so far, I can only see settings to alter what gets used from the .bam file for the .wig files and the coverage reports. As far as I can find thus far, LifeScope is the same as BioScope in this regard - the only way to filter what the pipeline puts into the merge .bam file is via a mapping qv cutoff. Otherwise, all non-filtered, mapped reads end up in the .bam file and you then have to pull out those you want to use in your next steps. I may well have missed or not found something in LifeScope yet though.
    Michael Black, Ph.D.
    ScitoVation LLC. RTP, N.C.

    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
    27 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
    25 views
    0 reactions
    Last Post SEQadmin2  
    Working...