Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Tom_C
    Member
    • Aug 2012
    • 16

    #1

    velvetg exp_cov?

    Hello all,

    I am very new to sequence analysis and am currently trying to teach myself how to assemble a bacterial genome from scratch. I am primarily a wet bench scientist with ZERO computer background, and the university I work at has no bioinformatics resources. Although I have poured over the manual and seqanswers for information, I still cannot grasp how to determine the exp_cov for velvetg. Can anyone provide some clarity? Thanks.
  • Brian Bushnell
    Super Moderator
    • Jan 2014
    • 2709

    #2
    Calculate (read_length x number_of_reads)/(expected genome size).

    If you don't know the expected genome size, you can estimate it with kmers. For example, with BBTools, there is a program called khist.sh that will produce a histogram of kmer frequencies; the expected coverage would be the position of the first major peak. But you don't really need to; you can run Velvet without setting that flag.

    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

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by SEQadmin2, 08-13-2026, 12:22 PM
    0 responses
    29 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-11-2026, 10:35 AM
    0 responses
    24 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-06-2026, 07:41 AM
    0 responses
    38 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-03-2026, 10:13 AM
    0 responses
    51 views
    0 reactions
    Last Post SEQadmin2  
    Working...