Unconfigured Ad

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

    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
      From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
      by SEQadmin2


      Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


      The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
      ...
      06-02-2026, 10:05 AM
    • SEQadmin2
      Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
      by SEQadmin2


      With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


      Introduction

      Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
      05-22-2026, 06:42 AM
    • SEQadmin2
      Environmental Genomics in the Age of NGS: From Microbes to Conservation Strategies
      by SEQadmin2

      Studying ecosystems means dealing with complex, multi-species communities that are hard to observe at scale. This complexity, however, hides many important questions to be answered, from how biogeochemical cycles work and how climate change can affect species distribution to how conservation strategies can work best.


      Genomics, particularly since the expansion of NGS, has transformed ecosystem ecology. By sequencing environmental DNA, we can now assess biodiversity without direct...
      05-06-2026, 09:04 AM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, Today, 08:59 AM
    0 responses
    9 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-02-2026, 12:03 PM
    0 responses
    21 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-02-2026, 11:40 AM
    0 responses
    17 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 05-28-2026, 11:40 AM
    0 responses
    30 views
    0 reactions
    Last Post SEQadmin2  
    Working...