Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Boel
    Member
    • Oct 2009
    • 62

    Alignment at exon-exon junctions

    Hi All,

    I have RNA seq data (human, paired end, 72 bases, Solexa) from a bunch of samples. In one of my analyzes I have realized that a big problem is the fact that reads get mis-aligned at exon exon junctions, see attached illustration. So far I have mainly been using Bowtie, and the "errors" I am seeing makes sense given how Bowtie works. So reads will map with a small "overhang" at the exon border, especially if there is some seq. similarity at that border and on the other side of the junction (the other exon). This leads to that I will get what looks like sequence variation, in the attached illustration for example the red AA on the left hand side will look a SNP or an editing event.

    One easy approach to "correct" for this would be to only analyze data that falls within exon borders, but this will cause a loss of information. So my question is: Are there other aligners that are better at aligning around exon junctions?

    Another option is to align reads to the transcriptome instead, which I have been doing, but genome annotation then gets lost which is a major problem.

    Thankful for any thoughts about aligners that would work well in this situation!

    Boel
    Attached Files
  • Thomas Doktor
    Senior Member
    • Apr 2009
    • 105

    #2
    First of all, I'm not sure if you have used Bowtie itself or TopHat, which uses Bowtie as it's aligner?

    In any case, I don't think you can completely eliminate the problem with misaligning reads right at the intron-exon border, because you need a certain minimum length of coverage on either side of the intron in order to map a read across an exon junction. What I would do, is filter out all variations found within a distance of, say 5 bases, from the exons. This will minimize the number or true positives that you reject, especially considering that this region is already particular sensitive to mutations and seldom have neutral SNPs within them. If you are looking for disease causing mutations which for instance cause intron retention or usage of alternative splice sites, you should be able to detect this and then change the filter for those particular cases.

    Another RNA-seq aligner you might try using is MapSplice which, in my experience, does a little better job than TopHat/Bowtie.
    Last edited by Thomas Doktor; 12-09-2010, 12:11 PM.

    Comment

    • Boel
      Member
      • Oct 2009
      • 62

      #3
      @ Thomas Doktor:
      I'm using Bowtie itself for this particular analysis.
      One could imagine that there could be an aligner that after aligning reads and defining exon-exon junctions actually re-aligns the reads that cross that border. Could be a neat approach. Maybe something I should develop myself.

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Nine Things a Sample Prep Scientist Thinks About Before Sequencing
        by SEQadmin2


        I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.


        Here are nine questions we think about, in roughly the order they matter, before...
        Yesterday, 07:11 AM
      • 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

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 06-17-2026, 06:09 AM
      0 responses
      20 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-09-2026, 11:58 AM
      0 responses
      38 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-05-2026, 10:09 AM
      0 responses
      44 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-04-2026, 08:59 AM
      0 responses
      49 views
      0 reactions
      Last Post SEQadmin2  
      Working...