Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • alexbmp
    Member
    • Oct 2011
    • 30

    #1

    Mismatch options in bwa

    Is it right, that the -n option of "bwa align" is restricted to only one of the paired-end reads?

    I """think""" that I have found the fact that, when I give -n option, the option is set to only one of the reads.

    Does anybody know how to set -n option to both of the reads?

    I think the problem rises when I use "bwa sampe" to pair reads; bwa probably pairs without regarding the previous options given in "bwa aln", such as the -n option I mentioned.

  • CTGF
    Junior Member
    • Oct 2011
    • 7

    #2
    Yes, when you do a paired-end mapping, bwa sampe will force a non-optimal alignment regardless of the mismatch rate you set during the initial alignment.

    Comment

    • alexbmp
      Member
      • Oct 2011
      • 30

      #3
      Originally posted by CTGF View Post
      Yes, when you do a paired-end mapping, bwa sampe will force a non-optimal alignment regardless of the mismatch rate you set during the initial alignment.
      I got this quote from lh3:
      Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc


      lh3 mentions that though XM:i:# can seem nonoptimal, it actually isn't;
      lh3 says that such "seemingly nonoptimal" reads are the result of pairing to semi-repetitive regions.

      I BLATted some of the former suspicious reads, and they all turned out to be mapped in repetitive regions.

      So I decided to ignore XM:i:# when pairing.

      How do you think?

      Comment

      • CTGF
        Junior Member
        • Oct 2011
        • 7

        #4
        In my case, if I use paired end mapping by bwa, more than 90% of the reads align to the reference genome; while if I map two ends individually, the alignment rate drops to 80%. So I think the paird end mapping is not that stringent.

        Comment

        • shoegame2001
          Member
          • Dec 2010
          • 21

          #5
          So does anyone know how to change the settings so that both reads in the read pair are required to have fewer than n mismatches? It was not obvious to me from the user manual...

          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, 08-03-2026, 10:13 AM
          0 responses
          18 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-31-2026, 02:55 AM
          0 responses
          33 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-24-2026, 12:17 PM
          0 responses
          23 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-23-2026, 11:41 AM
          0 responses
          21 views
          0 reactions
          Last Post SEQadmin2  
          Working...