Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • kirstyn
    Junior Member
    • May 2012
    • 8

    #1

    Analysing .ace and .bam files for SNPs

    Hi

    I have imported .ace files from 454 sequencing into both Geneious and Seqman pro. I want to find SNPs in reads and currently the analysis only highlights insertions and deletions. This is because the reads import with gaps (dashed lines) for every single variation, which means that for my ~6kb sequence I have an 18kb contig. How can I remove these gaps so that the SNP analysis works properly?

    I would appreciate any help with this!

    Thanks
  • maubp
    Peter (Biopython etc)
    • Jul 2009
    • 1544

    #2
    It sounds like you are running into the issue where Newbler tends to use a deletion/insertion rather than a mismatch for a SNP. Is that a fair guess?

    Comment

    • kirstyn
      Junior Member
      • May 2012
      • 8

      #3
      Yes that's right. Is there no way to get around this?

      Comment

      • kirstyn
        Junior Member
        • May 2012
        • 8

        #4
        I've found a thread discussing this problem....

        Comment

        • colindaven
          Senior Member
          • Oct 2008
          • 417

          #5
          That issue drove me crazy for a bit. We ended up using alternative 454 mappers for alignment, eg CLC genomics workbench, bwa-sw, or others discussed on this forum.

          Comment

          • kirstyn
            Junior Member
            • May 2012
            • 8

            #6
            It has been driving me crazy too! What was your experience from using alternative mappers? Have you attempted to use MIRA, which was mentioned in the other post?

            Comment

            • sklages
              Senior Member
              • May 2008
              • 628

              #7
              Originally posted by kirstyn View Post
              It has been driving me crazy too! What was your experience from using alternative mappers? Have you attempted to use MIRA, which was mentioned in the other post?
              Should do the job. Leads you on the Staden/gap5 track.
              If you are familiar with Consed, you could also use it for your mapping of 454 data (it internally uses cross_match).

              Comment

              • colindaven
                Senior Member
                • Oct 2008
                • 417

                #8
                Otherwise novoalign should do the job pretty well, and the free version should be fast enough.
                Keep in mind they automatically trim to 160bp (or used to at least), which should be disabled for 454 reads.

                I have always had problems with bwa-sw and segmentation faults.

                Clcgenomics worked well but was very expensive.

                Comment

                Latest Articles

                Collapse

                • SEQadmin2
                  16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
                  by SEQadmin2




                  NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification, detection...
                  Today, 06:46 AM
                • SEQadmin2
                  Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
                  by SEQadmin2



                  Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

                  Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
                  ...
                  10-14-2026, 09:55 AM

                ad_right_rmr

                Collapse

                News

                Collapse

                Topics Statistics Last Post
                Started by SEQadmin2, 10-28-2026, 09:57 AM
                0 responses
                23 views
                0 reactions
                Last Post SEQadmin2  
                Started by SEQadmin2, 10-28-2026, 09:51 AM
                0 responses
                15 views
                0 reactions
                Last Post SEQadmin2  
                Started by SEQadmin2, 10-22-2026, 11:13 AM
                0 responses
                68 views
                0 reactions
                Last Post SEQadmin2  
                Started by SEQadmin2, 10-22-2026, 10:48 AM
                0 responses
                48 views
                0 reactions
                Last Post SEQadmin2  
                Working...