Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • SNP array analysis

    I there!!

    A friend has passed me the data of an Infinium Omni5-4 array. In short, they have applied two different mutagens to a cell line. I have passed a data set that contains:
    3 mother samples (MS)
    3 samples mutagen 1 (M1)
    3 samples mutagen 2 (M2)
    Its objective is to identify the mutagenic potential of each mutagen.
    After googeling, I think what I need to do is a Manhattan plot to identify the chromosomal regions that have mutated the most for each mutagen.
    What I have done at the moment is:
    1 Genotyping callin, using the Genotyping Module of Genome Studio
    2 Establish the reference set: SNP's 100% call and with the same genotype in all MS.
    3 Assign each SNP of samples M1 and M2 a 1 if the genotype has varied from the reference or a 0 if it has not. The SNPs of the M1 and M2 samples that are not in the reference set or that are not 100% called have been discarded.
    I have done all this with perl. What I now have is a text file with the following structure:
    SNP_1 SNP_2 ...
    M1.1 1 0
    M1.2 1 1
    .
    .
    M2.3 1 0

    And that's all folks!!, I have no idea what I should do now.
    Any help will be welcome because, as you may deduced, I have no idea of working with arrays or statistics.
    Thank you

  • #2
    Hi Vasudev,
    I'm afraid this is not an array analysis, at least not complete.
    The part of the analysis of results, that I hope someday someone completes, is missing.
    In addition, until someone with experience in the analysis of arrays is pronounced, this should be interpreted as a noob's attempt to interpret data with which he had never worked before.
    Anyway, thanks for your comment.

    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...
      Today, 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, Today, 07:17 AM
    0 responses
    11 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
    20 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 04-29-2024, 10:49 AM
    0 responses
    28 views
    0 likes
    Last Post seqadmin  
    Working...
    X