Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • chrismit
    Junior Member
    • Aug 2012
    • 6

    #1

    Error with Picard MarkDuplicates

    I have some targeted sequencing that I'm aligning in the following manner:
    1) bowtie2 alignment to only the targeted regions
    2) take the unaligned reads, align to the whole genome
    3) remove all unmapped/secondary alignments from each file
    4) merge using Picard

    The issue is when I am doing MarkDuplicates, I have reads which are aligned in both files. I don't understand how this is possible, as the reads aligned in each case should be mutually exclusive.
  • kmcarr
    Senior Member
    • May 2008
    • 1181

    #2
    Originally posted by chrismit View Post
    I have some targeted sequencing that I'm aligning in the following manner:
    1) bowtie2 alignment to only the targeted regions
    2) take the unaligned reads, align to the whole genome
    3) remove all unmapped/secondary alignments from each file
    4) merge using Picard

    The issue is when I am doing MarkDuplicates, I have reads which are aligned in both files. I don't understand how this is possible, as the reads aligned in each case should be mutually exclusive.
    My guess is that in taking the "unaligned reads" after step 1 the set may have included read pairs where only one mate was unmapped, but that's just a guess.

    More to the point, the workflow you have described is not really the a accepted standard for analyzing targeted sequence data. You should just align all your reads to the whole genome from the start. After cleaning up your alignment (e.g. mark duplicates, remove secondary alignments, etc.) then focus on your targeted regions. This is more correct bioinformatically and will avoid the problem you are now dealing with.

    Comment

    • chrismit
      Junior Member
      • Aug 2012
      • 6

      #3
      You're right on the read pair, bowtie2 spits out both pairs into the aligned file if either fail to map (but keeps the alignment in the bam file as well).

      The reason I did it like this was because I wanted to overestimate any possible SNVs, which for the current project a conservative estimate of non-SNVs is desired. I'm going to just switch steps 1&2 and remove ones with a partial alignment from the fq.

      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, 10:13 AM
      0 responses
      13 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-31-2026, 02:55 AM
      0 responses
      26 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-24-2026, 12:17 PM
      0 responses
      20 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-23-2026, 11:41 AM
      0 responses
      19 views
      0 reactions
      Last Post SEQadmin2  
      Working...