Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • NGS_New_User
    Member
    • Sep 2012
    • 41

    De novo assembly (scaffolding)

    I am performing de novo assembly on a non-model organism. I am using the clc denovo assembly tool. In the assembly options, there is an option of performing de novo including and excluding scaffolding. I would like to know what scaffolding means? I am still a newbie at this, and I have been searching for the definition of scaffolding but I keep getting various definitions. Could someone please help me out with this, or direct me to a post that has discussed scaffolding?

    Another question I have is, what constitutes a good de novo assembly, especially of an organism with a genome size of ~500Mb? I have read some papers that say fewer count of contigs, large N50... what else should I look for? In short, could someone please give me a few tips on what steps I should take to have a good assembly and also maybe a few tips on what to look for so as to choose an optimal assembly (even if its directing to me a specific scientific paper, I will be extremely grateful!).
  • kbradnam
    Member
    • May 2011
    • 54

    #2
    Overlapping reads can be merged to produce a single contiguous sequence which are called contigs. The first part of assembly is used to make contigs from reads. The next step is to see if some of these contigs can be joined together. This process is called scaffolding.

    E.g. contig A and B might not overlap, but there may be a mate pair read that maps to contig A and the other read of the mate pair maps to contig B. Thus you can make one scaffold that consists of two contigs. In this case, the scaffold sequence would be padded with N characters to reflect the length of the unknown region between the two contigs. In some extreme cases a very large assembly of scaffolds, might contain a lot of Ns.

    As for your second question, I suggest checking out the Assemblathon 2 pre-print that is currently on available on arxiv.org.

    Regards,

    Keith

    Comment

    • boetsie
      Senior Member
      • Feb 2010
      • 245

      #3
      Check out CLC's white paper where their algorithm for assembly and scaffolding is explained;



      For quality checking, one way is to map your paired-reads back to your assembly (there is an option for this in CLC Workbench). The higher number of paired-reads that could be mapped back to your contigs/scaffolds, the better the assembly. In addition, the N50 and number of contigs is also a way to check the quality. Although this does not tell you if there is any misassembly.

      Regards,
      Boetsie

      Comment

      • danwiththeplan
        Member
        • Sep 2011
        • 72

        #4
        I'd also suggest that N50 and contig number is not the only metric for how "good" an assembly is, nor even a particularly good one. There are alternatives (e.g. http://genomebiology.com/2013/14/1/R8/abstract)
        If you have any smaller known sequences that you absolutely know should be in your genome (e.g. genes from earlier studies), you should see if they are in there and correctly assembled.

        Comment

        • NGS_New_User
          Member
          • Sep 2012
          • 41

          #5
          Thank you for the responses, and the pointers

          Comment

          Latest Articles

          Collapse

          • 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.
            ...
            Yesterday, 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
          • GATTACAT
            Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
            by GATTACAT
            Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
            07-01-2026, 11:43 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, Yesterday, 10:04 AM
          0 responses
          10 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-08-2026, 10:08 AM
          0 responses
          8 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-07-2026, 11:05 AM
          0 responses
          16 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-02-2026, 11:08 AM
          0 responses
          31 views
          0 reactions
          Last Post SEQadmin2  
          Working...