Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Plotting distribution of allelic frequency under different coverage values

    I'm new to bioinformatics, and have an incomprehensible PI. Could someone clue me in on some of what is going on in the prompt below? For instance:
    1) What's "LD"?
    2) What do the different coverage values signify? How do I implement that in R?
    3) I have no idea what the RefAlleleCount, etc. bit means. Aren't all of those ratios the same anyhow?

    I realize I'm asking really broad, noobish questions, but a little context would be reeeaaally helpful. Thanks.

    " RNAseq reads covered 5,000 biallelic human autosomal SNPs (all are heterogeneous, assume they are not in LD). Please write simple R statements to plot the distribution of the alternative allelic frequency under sequencing coverage 2x, 5x, 10x, 20x, respectively. Also calculate the p-values with the hypothesis that there are no differential allelic expression for these three SNPs: (RefAlleleCount:AltAlleleCount) 1:4, 2:8, 4:16. "

    Edit: I've discovered that LD is linkage disequilibrium. Still fairly lost though.
    Last edited by toots; 10-22-2012, 08:36 AM.

  • #2
    1) LD = Linkage Disequalibrium
    2) Coverage refers to the number of reads covering each bp
    3) RefAlleleCount = # of reads with the reference allele, AltAlleleCount = # reads with an alternative allele (i.e. not matching the reference).

    Comment


    • #3
      Is there actually enough information in that prompt to do an analysis in R? I don't even know which "three SNPs" are being referred to. Is that implicit somehow?

      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...
        Yesterday, 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, 04-11-2024, 12:08 PM
      0 responses
      57 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 10:19 PM
      0 responses
      53 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-10-2024, 09:21 AM
      0 responses
      45 views
      0 likes
      Last Post seqadmin  
      Started by seqadmin, 04-04-2024, 09:00 AM
      0 responses
      55 views
      0 likes
      Last Post seqadmin  
      Working...
      X