Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • JamieHeather
    @jamimmunology
    • Nov 2012
    • 96

    #1

    FLASH not pairing obvious reads

    I've been trying to use FLASH to combine reads that should overlap in read 1 and 2 in a recent MiSeq 2x251 run, but it seems to be missing obvious overlaps.

    My data is a pool of four amplicons of different length (roughly 320, 340, 420 and 430 bp long), so I should be getting overlaps from ~70 to 180bp, depending on the amplicon.

    When I run FLASH however, it only combines about 30% of the reads. If I look in the files of reads it doesn't combine, I can see reads that should easily be detected - e.g. reads that have 200 bases of 100% identical sequence.

    Here's the command I'm using:

    flash -m 30 -M 220 -r 251 -f 376 -s 56 file1.fq file2.fq

    So -m 30 -M 220 is a minimum overlap size of 30 and maximum overlap of 220 bases (I'm being generous in the size allowance, as my amplicons have a variable length section in the middle). -r is then read length, f is average fragment length, with the standard deviation of s.

    If I BLAST some of the paired reads that don't get overlaps found, I can easily find ones with huge overlaps (as well as finding some that did get combined that shouldn't have!).

    Any ideas what I might be doing wrong?
  • JackieBadger
    Senior Member
    • Mar 2009
    • 385

    #2
    I'm guessing (from your previous post) that these are MHC amplicons?
    I would say that your different length amplicons should be conserved enough where you do not need to specify the over lap.
    Have you not tried running flash with no preset options?
    I have done this on MHC and it correctly joins say 99% of PE reads.

    Comment

    • JamieHeather
      @jamimmunology
      • Nov 2012
      • 96

      #3
      They're actually TCR amplicons (hence the MHC interest!), so there is a fair bit of length deviation even within an amplicon.

      I did try just default options, which produces a similar 30% success rate (a % or so less than the one above) - which I find odd, as the default max overlap is 70bp, which should only really just allow some of my smaller amplicons.

      Comment

      • JackieBadger
        Senior Member
        • Mar 2009
        • 385

        #4
        I would try to demultiplex your amplicon products by size as much as possible just so you can try to figure out the issue.
        First off, are all of your PE1 and PE2 sequences in corresponding order between the files?
        Can you de-multiplex these based on primer sequence i.e. does each amplicon of a particular length have its own primer set?

        Comment

        • JamieHeather
          @jamimmunology
          • Nov 2012
          • 96

          #5
          Yep, the reads are in order in each file. Thanks, I'll try demultiplexing on the primers and seeing how they do!
          Last edited by JamieHeather; 07-16-2013, 08:57 AM.

          Comment

          • JamieHeather
            @jamimmunology
            • Nov 2012
            • 96

            #6
            Ah-ha, now this is interesting - once demultiplexed two of the amplicons give combine at >90%, while the other two don't even manage a % between them! Demultiplexing was great advice.

            It's the shorter two (~330 base amplicons, therefore ~170 bp overlap) that fail. Still having no luck tweaking these with the different parameters either.
            Last edited by JamieHeather; 07-16-2013, 10:21 AM.

            Comment

            • GenoMax
              Senior Member
              • Feb 2008
              • 7142

              #7
              There are a few additional tools posted that you could give a try: http://thegenomefactory.blogspot.com...aired-end.html

              Comment

              • JackieBadger
                Senior Member
                • Mar 2009
                • 385

                #8
                jamie ping me a mail...I'd like to discuss what you're up to [email protected]

                Comment

                • JamieHeather
                  @jamimmunology
                  • Nov 2012
                  • 96

                  #9
                  Cheers Genomax - I had tried a few of the others from that, particularly Cope and Pandaseq. Sadly Cope did worse than FLASH, and I'm not convinced Pandaseq installed correctly - it kept throwing up odd errors that the read IDs weren't identical, when they clearly were (even if I made the read names exactly the same, so both :1, or removing that whole block).

                  I'm just now trying to see how Cope works on the different demultiplexed files.

                  Comment

                  • JamieHeather
                    @jamimmunology
                    • Nov 2012
                    • 96

                    #10
                    In case anyone has a similar problem and finds this thread in the future, here's how it got solved.

                    Basically, as the reads are so long and the amplicons are so short, the end of each read goes past the start of the other read, so the 3' end of read has no equivalent in the other file. As this is what FLASH (and presumably the others) looks for, it doesn't find the huge overlap in the 5'.

                    It's easily solved - I just used FASTX-Toolkit to trim the reads down to a size where they will only overlap in their 3's, before running FLASH, e.g.:

                    Code:
                    fastx_trimmer -Q33 -f 1 -l 175 -i R1.fq -o shortR1.fq
                    fastx_trimmer -Q33 -f 1 -l 175 -i R2.fq -o shortR2.fq
                    flash shortR1.fq shortR2.fq
                    Works great!

                    Comment

                    • JackieBadger
                      Senior Member
                      • Mar 2009
                      • 385

                      #11
                      Now the 'fun' really begins for you!

                      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
                      • SEQadmin2
                        Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
                        by SEQadmin2



                        Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
                        ...
                        07-09-2026, 11:10 AM

                      ad_right_rmr

                      Collapse

                      News

                      Collapse

                      Topics Statistics Last Post
                      Started by SEQadmin2, Today, 10:13 AM
                      0 responses
                      13 views
                      0 reactions
                      Last Post SEQadmin2  
                      Started by SEQadmin2, 07-31-2026, 02:55 AM
                      0 responses
                      24 views
                      0 reactions
                      Last Post SEQadmin2  
                      Started by SEQadmin2, 07-24-2026, 12:17 PM
                      0 responses
                      19 views
                      0 reactions
                      Last Post SEQadmin2  
                      Started by SEQadmin2, 07-23-2026, 11:41 AM
                      0 responses
                      18 views
                      0 reactions
                      Last Post SEQadmin2  
                      Working...