Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Find SNP in 454HCDiffs.txt

    Hey there,

    I mapped my reads against a reference consisting of the isotigs of the de novo assembly of the same reads. I'm wondering now if the follwoing approach is really sufficient to detect SNPs in the 454HCDiff.txt:
    - get the summary line of each diff: grep '>' 454HCDiffs.txt
    - check if the start and end position are identical (SNPs need to be at the same position in the reference)
    - check if neither the ref nucleotide nor the var nucleotide is only a gap

    - check if the var nucleotide length is 1

    Regards,
    Thomas
    Last edited by dschika; 01-18-2011, 03:46 AM.

  • #2
    Yes, that approach will give you a list of putative SNP/SNVs.

    But you will want to do further filtering (e.g. on read depth, quality) to get a more trusted set of SNPs.

    Comment


    • #3
      Thanks for your quick reply!

      I thought it would be sufficient to take the 454HCDiffs.txt file, because of the High Confidence. That means that (please see the manual for full details):
      - there must be at least 3 non-duplicate reads with the difference
      - there must be forward and reverse reads with the difference, unless there are at least 5 reads with quality score over 20

      Do you think that those filtering options are still too smooth? Can you perhaps suggest some other values?

      Btw: I added another step in my first post.

      Comment


      • #4
        It will depend on a number of factors. For example if you have greater coverage then you might want to set the read depth cut-off higher. It will depend also on the quality of your reference genome - that might have errors in it. You need to take a view depending on what you are trying to do.

        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
        20 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