Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • bowtie with long reads, is it a problem?...help!

    Hi everyone, I am a very new beginner with bowtie. And I have some trouble about reads...When I run bowtie with long reads(the read length is nearly 200), the misaligned percentage is nearly 98% (I tried human, yeast and e_coli...)
    The result is very weird and I cannot find the reason for it...Is there anyone who knows how to solve this problem? Please help me


    Thanks!

  • #2
    Bowtie is, by design, a short read aligner. You can make it work with longer reads, but the default setup will not work well there. The major limitation is that it doesn't allow the insertion of gaps in alignments, so that any indel errors will probably make your alignment fail.

    Bowtie also has a cutoff for the sum of the mismatched quality scores. The way it's set up you only need around 3 mismatches for this to reject an alignment. If you are using long reads then you will probably want to increase this value to allow for more flexibility in your alignments.

    Comment


    • #3
      Thank you very much...as you say, I tried another e_coli sample which is 35 reads, it`s working nicely. I should use another algorithm to solve the long read problem.

      Comment


      • #4
        I think for reads longer than 100bp, gapped alignment become important. for long reads (>150bp), try ssaha2/mosaik/bwasw.

        Comment


        • #5
          Thx!
          When we use mosaik, we found it failed to align long genome, such as yeast and human, it seems that mosaik only works well with very short genome...Is that true??

          Comment


          • #6
            Is bowtie2 more effective given that it permits gaps?

            Comment

            Latest Articles

            Collapse

            • seqadmin
              Recent Developments in Metagenomics
              by seqadmin





              Metagenomics has improved the way researchers study microorganisms across diverse environments. Historically, studying microorganisms relied on culturing them in the lab, a method that limits the investigation of many species since most are unculturable1. Metagenomics overcomes these issues by allowing the study of microorganisms regardless of their ability to be cultured or the environments they inhabit. Over time, the field has evolved, especially with the advent...
              09-23-2024, 06:35 AM
            • seqadmin
              Understanding Genetic Influence on Infectious Disease
              by seqadmin




              During the COVID-19 pandemic, scientists observed that while some individuals experienced severe illness when infected with SARS-CoV-2, others were barely affected. These disparities left researchers and clinicians wondering what causes the wide variations in response to viral infections and what role genetics plays.

              Jean-Laurent Casanova, M.D., Ph.D., Professor at Rockefeller University, is a leading expert in this crossover between genetics and infectious...
              09-09-2024, 10:59 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by seqadmin, 10-02-2024, 04:51 AM
            0 responses
            13 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 10-01-2024, 07:10 AM
            0 responses
            21 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 09-30-2024, 08:33 AM
            0 responses
            25 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 09-26-2024, 12:57 PM
            0 responses
            18 views
            0 likes
            Last Post seqadmin  
            Working...
            X