Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • bio
    Junior Member
    • Jun 2010
    • 1

    #1

    Coordinating sequencing data and microarrays

    I'm sure this is a very simple question, but I am still getting a feel for how locations are named.

    Let's assume that I've processed an individual's genome (possibly from 1000 genomes) and I identified a consensus sequence for that individual.

    I want to compare the sequencing calls to microarray calls for those SNPs on an array. How do I identify the positions in the sequencing that are located on the array?
  • nilshomer
    Nils Homer
    • Nov 2008
    • 1283

    #2
    Originally posted by bio View Post
    I'm sure this is a very simple question, but I am still getting a feel for how locations are named.

    Let's assume that I've processed an individual's genome (possibly from 1000 genomes) and I identified a consensus sequence for that individual.

    I want to compare the sequencing calls to microarray calls for those SNPs on an array. How do I identify the positions in the sequencing that are located on the array?
    This seems like an extremely basic bioinformatics question. I would ask your local bioinformatician or your PI for help getting accustomed to such data.

    Comment

    • rstarke
      Junior Member
      • Feb 2011
      • 7

      #3
      1000 Genomes microarray data

      In the specific instance of 1000 Genomes data, does anyone know if the microarray calls or (preferably) raw array data are available for download? These were used to validate NSG-based SNP calls as mentioned in the pilot paper. Further, for full project data (e.g. high coverage full exome), will this data be made available as it is generated? Is some of it already available?

      I haven't seen this data at the project FTP site.

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
        by SEQadmin2



        Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

        Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
        ...
        10-14-2026, 09:55 AM
      • SEQadmin2
        New Genomics Technologies Take Aim at Long-Standing Limits
        by SEQadmin2


        Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

        We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
        ...
        09-28-2026, 10:25 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, 10-22-2026, 11:13 AM
      0 responses
      23 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-22-2026, 10:48 AM
      0 responses
      20 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-15-2026, 10:52 AM
      0 responses
      36 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-14-2026, 05:39 AM
      0 responses
      42 views
      0 reactions
      Last Post SEQadmin2  
      Working...