Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • vani s kulkarni
    Member
    • Jun 2009
    • 11

    #1

    velvet- stats.txt file

    hi
    I am using velvet for my solexa reads(36bp).
    Can any one explain the use of stats.file, as it will be having the following information

    ID, lgth, out, in, long_cov, short1_cov, short1_Ocov, short2_cov, short2_Ocov,
    1 1126 0 0 0.000000 18.714032 18.714032 0.000000 0.000000
    2 489 0 0 0.000000 40.832311 40.832311 0.000000 0.000000

    1-what is the difference between
    short1_cov, and short1_Ocov,
    2-who these information is use full for selecting contigs.


    Thanks
  • bioinfosm
    Senior Member
    • Jan 2008
    • 483

    #2
    AFAIK

    In the stats file the columns refer to node id, length, number of arcs
    going out, in, coverage in long reads, coverage in short reads (2 columns
    for two metrics), coverage in short reads 2 (2 columns for two metrics).
    --
    bioinfosm

    Comment

    • allo
      Member
      • Jul 2009
      • 15

      #3
      Short1_cov is the contig coverage in K-mers this count includes slightly divergent sequences
      Short1_Ocov is the contig coverage in K-mers of sequences that match perfectly to each other and conform the consensus.
      Both are reported in k-mers which is the hash length that you used to run velveth.

      The node length gives you the size in K-mers of each contig, for example, you can sort this file by the contig size and use this info to ID the largest contig.

      Comment

      • Torst
        Senior Member
        • Apr 2008
        • 275

        #4
        Originally posted by vani s kulkarni View Post
        1-what is the difference between short1_cov, and short1_Ocov,
        This is explained in the Manual.pdf which comes with the Velvet source code.

        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
        22 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-28-2026, 09:51 AM
        0 responses
        14 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-22-2026, 11:13 AM
        0 responses
        67 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-22-2026, 10:48 AM
        0 responses
        47 views
        0 reactions
        Last Post SEQadmin2  
        Working...