Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • nwfungi
    Junior Member
    • Nov 2015
    • 5

    trouble shooting PB assembly generating a larger than expected contig

    So I've got a newly assembled genome that was sequenced using PacBio sequencing and obtained >100x coverage. It was assembled with HGAP.3 and for the most part looks great except for an exceptionally large contig (the largest actually). it's estimated that our genomes largest chromosome is around 3.5Mb (based on electrokaryograph) but this one large contig is around 5Mb and has low complexity across the entire contig. Blasting this contig doesn't result in any matches of note at NCBI or to our reference genome.

    Any suggestions on how I could adjust the assembly to get rid of this large contig that I am fairly sure is not real?
  • Brian Bushnell
    Super Moderator
    • Jan 2014
    • 2709

    #2
    Why don't you try gene-prediction on it to see what you get? Also, based on mapping, what kind of coverage does this contig have? Note, also, that it could be a bacterial symbiont, so you might want to try prokaryotic gene-calling. Bacteria don't usually have low complexity, though.

    Comment

    • rhall
      Senior Member
      • Aug 2012
      • 324

      #3
      Looking at the coverage when remapping all the raw data would be the most telling, does it have 100x coverage, is the coverage even?
      I'm actually really intrigued, I've done a lot of HGAP.3 assemblies, but have never seen a 'junk' contig get anywhere near that big. It's possible its just all the low complexity repeats getting overlapped together, but normally this would generate at max 10's of kb of sequence. You can also look at the overlap graph to see what the origin of the contig is https://gist.github.com/rhallPB/2d962e700d83270b0109 .

      Comment

      • gringer
        David Eccles (gringer)
        • May 2011
        • 845

        #4
        Do you have Illumina reads that you can map to this contig in local mode (e.g. 'MagicBLAST' or 'Bowtie2 --local')? If not, you could try digitally fragmenting your PacBio reads into short reads and mapping.

        Map only to the single contig. As rhall has said, you should get a somewhat even coverage across this contig. Any big jumps in coverage indicate something that needs further investigation. A shift from one coverage level to another might indicate a misassembly, while a blip of extremely high coverage suggests transposon sequence that may be interfering with assembly.

        Comment

        Latest Articles

        Collapse

        • 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
        • SEQadmin2
          Cancer Drug Resistance: The Lingering Barrier to Rising Survival
          by SEQadmin2



          Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

          There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
          07-08-2026, 05:17 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 07-24-2026, 12:17 PM
        0 responses
        29 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-23-2026, 11:41 AM
        0 responses
        21 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-20-2026, 11:10 AM
        0 responses
        212 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-13-2026, 10:26 AM
        0 responses
        78 views
        0 reactions
        Last Post SEQadmin2  
        Working...