Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Inferring (visualizing) haplotypes

    Hi everyone,

    I have about 300 SNPs from about 200 individuals for a region covering 6mb of a genomic region (reference available). All these individuals are wild caught, so there is no knowlege in terms of father, mother etc. These 200 individuals, however, can be split into 4 distinct population (A, B, C, D).
    The SNP matrix (data structure) is as follows:

    ID chr Population 3232_SNP1 4567_SNP2 7534_SNP3 ....
    ind1 4 A G C A
    ind1 4 A G T A
    ind2 4 B A G NA
    ind2 4 B T C G
    ind3 4 A NA T G
    ind3 4 A NA G A
    .
    .
    .

    A few comments: For each individual there are 2 lines. For some SNPs, due to little sequence coverage, I called a "haploid genotype" only (e.g. ind2, SNP3). This means, I can quite reliably say that one of the two genotypes (diploid organism) is an A, but I don't know about the other genotype. For some SNPs and individuals data are completely missing (e.g. ind3, SNP1).
    For all these SNPs, the exact position in the genome is known (actually given by the number in front of the SNP-name).

    Aim: I would now like to infer linkage blocks among these SNPs. I expect, that there are certain major haplotype-blocks, which I then also like to visualize.
    How could I do this the easiest way? When informing myself a bit, I found that HaploView might be the program of choice. However, I'm not sue whether I can easily make my data file fit to the input requieries of this program.
    Any suggestions/recommendations?
    Btw: I generally work with "R", even though I'm far from being very good at it.

  • #2
    Hi Marius,

    I realize this is a long shot, but I am trying to do something similar at the moment and was wondering how you went about identifying your haplotypes?

    Thanks

    Comment

    Latest Articles

    Collapse

    • seqadmin
      Recent Advances in Sequencing Analysis Tools
      by seqadmin


      The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
      05-06-2024, 07:48 AM
    • 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

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, Yesterday, 06:57 AM
    0 responses
    12 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 05-06-2024, 07:17 AM
    0 responses
    16 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 05-02-2024, 08:06 AM
    0 responses
    19 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-30-2024, 12:17 PM
    0 responses
    24 views
    0 likes
    Last Post seqadmin  
    Working...
    X