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  • bio_informatics
    Senior Member
    • Nov 2013
    • 182

    #1

    SPAdes: does contig with node id has/refer coverage?

    Hi Members,
    I'm working on bacteria genome, illumina Hiseq paired end reads.
    Used:
    - trimmomatic with illumina adapter file.
    - spades for assembly with careful flag, bayes hammer correction.

    I get 2 fasta files: contigs and scaffolds.
    Contigs and scaffolds file give output in below fashion:

    scaffolds-
    >NODE_452_length_82_cov_291.815_ID_903
    contigs-
    >NODE_488_length_109_cov_1.07407_ID_975
    My question:
    Does cov_1.07407 and cov_291.815 refer to coverage of the contig/scaffold?

    Thank you.
    Bioinformaticscally calm
  • akorobeynikov
    Member
    • Sep 2013
    • 25

    #2
    Yes, like in Velvet, this is the average k-mer coverage of a contig/scaffold. Use the last k-mer length if you need to convert to read coverage.

    Comment

    • bio_informatics
      Senior Member
      • Nov 2013
      • 182

      #3
      Hi,
      Thanks for your reply.
      I do not quite understand what you meant. I have not really well read/understood on Velvet. (Have basic knowledge that it works on de bruijn graphs and so so..)

      Originally posted by akorobeynikov View Post
      Yes, like in Velvet, this is the average k-mer coverage of a contig/scaffold. Use the last k-mer length if you need to convert to read coverage.
      My assembly ran on 21, 33 and 55 k-mer (default SPAdes run).
      Bioinformaticscally calm

      Comment

      • akorobeynikov
        Member
        • Sep 2013
        • 25

        #4
        Originally posted by bio_informatics View Post
        Hi,
        Thanks for your reply.
        I do not quite understand what you meant. I have not really well read/understood on Velvet. (Have basic knowledge that it works on de bruijn graphs and so so..)



        My assembly ran on 21, 33 and 55 k-mer (default SPAdes run).
        Check this http://seqanswers.com/forums/showthread.php?t=1529 for k-mer coverage. Use k=55 for SPAdes in this case.

        Comment

        • bio_informatics
          Senior Member
          • Nov 2013
          • 182

          #5
          Thank you for directing to that page.

          Indeed the below URL far better explains what I was looking for:

          Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc


          Merci!
          Bioinformaticscally calm

          Comment

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