Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • optimal k value?

    Hi everyone, my question:
    How to determine the optimal k value (in assembling using k-mer)?

    The k-mer length we used includes 40, 50, 60 and 70. We have the number of clusters and singletons produced. How do I know which one is the best to choose to proceed with assembly with MIRA?

    I am new in bioinformatics, please let me know if the information I've given is not clear. Thanks for your help!

  • #2
    To add, my data is 454 reads.
    Any helpful comment is appreciated.

    Comment


    • #3
      In velvet you can use optimizer or assemblyassember tools included in velvet package...

      Comment


      • #4
        Originally posted by LHT View Post
        Hi everyone, my question:
        How to determine the optimal k value (in assembling using k-mer)?

        The k-mer length we used includes 40, 50, 60 and 70. We have the number of clusters and singletons produced. How do I know which one is the best to choose to proceed with assembly with MIRA?

        I am new in bioinformatics, please let me know if the information I've given is not clear. Thanks for your help!
        I don't think that we can say what is the optimal k value. It depends on the read lengths of all the reads, if i am not wrong. i tried velvet with a simulated reads rather than actual reads generated from sequencer. i increased the reads from 21 to 57. the kmer 57 gave me the highest n50. kmer61 gave the n50 lower than kmer 57 so i didnt increase the kmer size again.
        Hope this reply makes u happy

        Comment


        • #5
          I remember abyss suggests using k value loop to find the proper one.

          Comment

          Latest Articles

          Collapse

          • seqadmin
            Essential Discoveries and Tools in Epitranscriptomics
            by seqadmin




            The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
            04-22-2024, 07:01 AM
          • seqadmin
            Current Approaches to Protein Sequencing
            by seqadmin


            Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
            04-04-2024, 04:25 PM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by seqadmin, Today, 08:47 AM
          0 responses
          10 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-11-2024, 12:08 PM
          0 responses
          60 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 10:19 PM
          0 responses
          59 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 09:21 AM
          0 responses
          53 views
          0 likes
          Last Post seqadmin  
          Working...
          X