Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • arivers
    Junior Member
    • May 2018
    • 2

    #1

    BBduk for NexteraXT

    I'm using BBduk 38.00 for adaptor trimming on NexteraXT libraries multiplexed with i5 and i7 indices and sequenced on an NextSeq500 2x150:

    Code:
    bbduk.sh in=sample.fq.gz ref=adapters.fa bhist=bhist.txt k=23 hdist=1 ktrim='r' overwrite=t mink=8 tbe tbo ftm=5
    When I plot the bhist output from BBduk (A, C, G, T, N % at each position on read one then read2), I get strong GC and AT precent divergence over the first 16-18 bp of read 1 and read 2.

    It looks like I'm missing some forward primer or transposase sequence and, in fact, the most common bases are similar to the read 2 Nextera transposase sequence.

    Here is an example plot:
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    Have you come across this blog post?

    What you are observing is the "bias" observed similar to random primed libraries that is present in nextera libraries.

    Comment

    • arivers
      Junior Member
      • May 2018
      • 2

      #3
      I knew that was an issue for random hexamer primed RNAseq libraries and I've heard that tagmentation sites were non-random. I usually work with Truseq/kapa data so this is my first time actually seeing how non-random things are.

      Using BBduk to left trim with a hamming distance of 2 or 3 reduces, or at least masks the positional sequence bias.

      Glad to know the consensus is that it's not a problem.

      Comment

      • GenoMax
        Senior Member
        • Feb 2008
        • 7142

        #4
        You should align the data without doing any additional manipulations beyond removal of adapters. Data should align normally.

        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

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 08-13-2026, 12:22 PM
        0 responses
        20 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-11-2026, 10:35 AM
        0 responses
        16 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-06-2026, 07:41 AM
        0 responses
        32 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-03-2026, 10:13 AM
        0 responses
        50 views
        0 reactions
        Last Post SEQadmin2  
        Working...