Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • yasutake
    Member
    • Sep 2008
    • 11

    Coverage (Velvet)

    Hello, all

    Does anyone know what the coverage means in velvet ?

    According to the manual of velvet, the relation between k-mer coverage Ck and standard (nucleotide-wise) coverage C is Ck = C*(L-k+1)/L.

    Is C calculated as follows ?

    Read length: 36bp
    Number of reads: 50,000,000 X 2 (paired-end)
    Size of reference sequence: 5M

    C = 36bp X 50,000,000 X 2 / 5M = 720

    I'd be happy if anyone answer the question !

    yasutake
  • jnfass
    Member
    • Aug 2008
    • 88

    #2
    Looks right to me ... there are 720 bases in reads for every 1 base in your reference.

    For Ck, the "length" in kmers of your reference is practically the same as length in bases ... (actually, 5M - 36 + 1, which is ~5M for the purposes of the equations below), so if you calculate the number of kmers in every read, it's 36-k+1. If you were to calculate the kmer coverage directly, you'd be asking how many read kmers you have per every reference kmer, so that's:
    (36-k+1)*50M*2 / 5M

    so if you already have base coverage calculated, you multiply by (36-k+1)/36 ... or (L-k+1)/L ... to get from base coverage to kmer coverage.
    Last edited by jnfass; 08-05-2011, 11:33 AM. Reason: clarity

    Comment

    • Torst
      Senior Member
      • Apr 2008
      • 275

      #3
      I'd be happy if anyone answer the question !
      You should consider joining the Velvet mailing list and asking Daniel Zerbino directly:

      Comment

      • yasutake
        Member
        • Sep 2008
        • 11

        #4
        jnfass and Torst,

        Thank you very much for your help !

        yasutake

        Comment

        • panos_ed
          Member
          • May 2010
          • 11

          #5
          Originally posted by jnfass View Post
          so if you already have base coverage calculated, you multiply by (36-k+1)/36 ... or (L-k+1)/L ... to get from base coverage to kmer coverage.
          So Velvet is using k-mer coverage values instead of base coverage in its parameters, right?

          In the above example, if my k-mer size is 21 and I want to eliminate all regions with coverage of 2x or below I shouldn't use '-cov_cutoff 2'. Instead I should use '-cov_cutoff 0.9'... Am I right?

          And what about the '-exp_cov' parameter? Should I use k-mer coverage values for this parameter, too?

          Comment

          • jnfass
            Member
            • Aug 2008
            • 88

            #6
            Originally posted by panos_ed View Post
            So Velvet is using k-mer coverage values instead of base coverage in its parameters, right?

            In the above example, if my k-mer size is 21 and I want to eliminate all regions with coverage of 2x or below I shouldn't use '-cov_cutoff 2'. Instead I should use '-cov_cutoff 0.9'... Am I right?

            And what about the '-exp_cov' parameter? Should I use k-mer coverage values for this parameter, too?
            Yes, on both counts.

            By the way, the -exp_cov value is used to determine which parts of the graph are likely due to repeat sequence ... some multiple (maybe 1.5?? I forget...) of the -exp_cov value serves as the cutoff, and nodes with higher coverage are deemed repeats. Given the wild variation in coverage from the nextGen sequencing technologies, which can be an order of magnitude or more from what I've seen, with Illumina, SOLiD, and 454, you might want to consider increasing -exp_cov above the auto estimate. YMMV, of course.

            ~Joe

            Comment

            • Torst
              Senior Member
              • Apr 2008
              • 275

              #7
              Joe

              Originally posted by jnfass View Post
              Given the wild variation in coverage from the nextGen sequencing technologies, which can be an order of magnitude or more from what I've seen, with Illumina, SOLiD, and 454, you might want to consider increasing -exp_cov above the auto estimate. YMMV, of course.
              Can you clarify what you mean by the above statement in italics?

              ie. are you saying you get 10-fold difference in coverage of NON-repeated elements??

              Comment

              Latest Articles

              Collapse

              • SEQadmin2
                From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
                by SEQadmin2


                Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


                The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
                ...
                06-02-2026, 10:05 AM
              • SEQadmin2
                Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
                by SEQadmin2


                With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


                Introduction

                Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
                05-22-2026, 06:42 AM
              • SEQadmin2
                Environmental Genomics in the Age of NGS: From Microbes to Conservation Strategies
                by SEQadmin2

                Studying ecosystems means dealing with complex, multi-species communities that are hard to observe at scale. This complexity, however, hides many important questions to be answered, from how biogeochemical cycles work and how climate change can affect species distribution to how conservation strategies can work best.


                Genomics, particularly since the expansion of NGS, has transformed ecosystem ecology. By sequencing environmental DNA, we can now assess biodiversity without direct...
                05-06-2026, 09:04 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, Today, 08:59 AM
              0 responses
              11 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 06-02-2026, 12:03 PM
              0 responses
              21 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 06-02-2026, 11:40 AM
              0 responses
              17 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 05-28-2026, 11:40 AM
              0 responses
              31 views
              0 reactions
              Last Post SEQadmin2  
              Working...