Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • jorge
    Member
    • Jun 2011
    • 25

    #1

    GATK 'Variant quality score recalibration' for shallow coverage

    Hello,

    I've used GATK to produce variant calls (VCF files). I have shallow coverage (<10) and the documentation suggests using 'Variant quality score recalibration' according to 'true sites' from HapMap 3 and Omni 2.5M SNP chip array. My question is, will I loose all the variants not occuring on those controls? For example, will I loose novel variant?

    any advise on this is welcome

    Thanks
    Jorge
  • mamons
    Member
    • Nov 2011
    • 10

    #2
    Hello,

    those sets with "true sites" are used to build an error model then each snp will be given a score based on the error model and the other parameters that has been collected.

    So you will not loose any information.

    Comment

    • jorge
      Member
      • Jun 2011
      • 25

      #3
      Hello!

      Thanks a lot for clarifying that!

      Jorge

      Comment

      Latest Articles

      Collapse

      • SEQadmin2
        Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
        by SEQadmin2



        CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

        Despite this, “CRISPR helped turn genome editing from a specialized technique into
        ...
        07-31-2026, 11:01 AM
      • SEQadmin2
        Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
        by SEQadmin2


        Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

        The systematic characterization of the human proteome has
        ...
        07-20-2026, 11:48 AM
      • SEQadmin2
        Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
        by SEQadmin2



        Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
        ...
        07-09-2026, 11:10 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Today, 07:41 AM
      0 responses
      9 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 08-03-2026, 10:13 AM
      0 responses
      23 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-31-2026, 02:55 AM
      0 responses
      36 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-24-2026, 12:17 PM
      0 responses
      25 views
      0 reactions
      Last Post SEQadmin2  
      Working...