Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Coverage calculation (on GA data)

    Hi,

    How to calculate coverage for Illumina Genome Analyzer sequencing data?

    Wikipedia says: It can be calculated from the length of the original genome (G), the number of reads(N), and the average read length(L) as NL / G.

    The question is how to get N?

    Kind regards
    Maria

  • #2
    Hi Maria,
    Is this de novo assembly or mapping?

    If its de novo you can calculate Number of reads for each contig as follows

    ((coverage)*(length of contig)) / (read length)

    Then you can multiply (TOTAL Number of reads) * (read length) / genome size

    If you are mapping, you should be able to pull out the number of reads that uniquely map to the genome.

    -John

    Comment


    • #3
      Originally posted by jgibbons1 View Post
      Hi Maria,
      Is this de novo assembly or mapping?

      If its de novo you can calculate Number of reads for each contig as follows

      ((coverage)*(length of contig)) / (read length)

      Then you can multiply (TOTAL Number of reads) * (read length) / genome size

      If you are mapping, you should be able to pull out the number of reads that uniquely map to the genome.

      -John
      Hi John, how do you pull out reads that map uniquely, I guess there is a flag in samformat for this? Also, what percentage of the reads that you map are duplicates and is there a way to distinguish these from PCR duplicates in RNA-seq data?
      thanks so much!
      Priyam

      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, Yesterday, 11:49 AM
      0 responses
      13 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-24-2024, 08:47 AM
      0 responses
      16 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-11-2024, 12:08 PM
      0 responses
      61 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 10:19 PM
      0 responses
      60 views
      0 likes
      Last Post seqadmin  
      Working...
      X