Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Non-C methylation in Bismark .cov files

    Hi
    I am analyzing RRBS using TrimGalore/Bismark and the methylation extractor, and am noticing quite a few non-C (T, A, and G) methylation signals (maybe 20% compared to C, by eye). Is this a normal technical artifact that has been observed?
    Thanks
    --Bryan

  • #2
    In the case of G, that is a C, just on the other strand. In the case of T or A, that's either an off by 1 error or the sequence you're looking at is different from the sequence against which the aligning was done.

    Comment


    • #3
      Thanks for the replay Devon.
      Is the 'off by 1 error' common? What would cause this?
      --Bryan

      Comment


      • #4
        Off by 1 errors are quite common (common enough that it has its own wikipedia article). The likely cause is the file using 1-based coordinates while whatever you're using to visualize things assumes it's using 0-based coordinates. I remember this being an issue with some of bismark's output at one point, though I don't know what the status of that is. If you look at those and there's an appropriate C (or G, depending on how things were done) just to the right, then that's what's going on.

        Comment


        • #5
          Wouldn't off-by-1 errors more result in 50/50 values than 20%? I'd be happy to have a closer look at whatever problems you are running into, just drop me a line.

          Comment


          • #6
            Given the non-random distribution of bases in the genome, probably not.

            Comment

            Latest Articles

            Collapse

            • seqadmin
              Best Practices for Single-Cell Sequencing Analysis
              by seqadmin



              While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...
              06-06-2024, 07:15 AM
            • seqadmin
              Latest Developments in Precision Medicine
              by seqadmin



              Technological advances have led to drastic improvements in the field of precision medicine, enabling more personalized approaches to treatment. This article explores four leading groups that are overcoming many of the challenges of genomic profiling and precision medicine through their innovative platforms and technologies.

              Somatic Genomics
              “We have such a tremendous amount of genetic diversity that exists within each of us, and not just between us as individuals,”...
              05-24-2024, 01:16 PM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by seqadmin, 06-07-2024, 06:58 AM
            0 responses
            13 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 06-06-2024, 08:18 AM
            0 responses
            23 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 06-06-2024, 08:04 AM
            0 responses
            20 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 06-03-2024, 06:55 AM
            0 responses
            14 views
            0 likes
            Last Post seqadmin  
            Working...
            X