Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • GATK HP is missing high coverage variant sites

    I am trying to use GATK HP ( v3.5 ) to call SNPs in amplicon seq data of a small genome of around 600bp. As shown in the attachment, the variants are not called between location 50 and 60, despite high coverage across many samples. ( There are total 96 samples ).



    The base qualities are above 30 and mapping quality is also 60 ( bwa mem ). I also did not remove duplicates ( not marked as well ) as its amplicon seq data.

    The command I used was ( multisample SNP calling ) :

    java -Xmx50g -jar GenomeAnalysisTK.jar -nct 2 -R<in.fasta> -T HaplotypeCaller -I merged_samples.bam -o gatk_out_raw_snps_indels.vcf --min_base_quality_score 30

    Its the same case even with base quality 20.

    Thanks in advance.

  • #2
    Have you checked the default filtering parameters for SNP clusters? That looks like a lot of SNPs within a 20 base region, which also makes me question if the mapping quality of the reads spanning that region are really good.

    Comment


    • #3
      Yes. This is a viral amplicon data, which I would expect many variants. The mapping quality is 60, as assigned by the bwa-mem and base qualities are above 30. As I did not mark duplicates, I would expect it to consider all the reads. But is there any problem with very high depth ? Like more than 5k reads per base ? Should I randomly downsample few reads ?

      Comment


      • #4
        May be and there is a lot of discussion/confusion on haplotypecaller's downsampling technique as well. In general haplotypecaller has been very dicey in case of multisample calling for me even in human data.

        Comment


        • #5
          Yeah. My initial plan was to use freebayes, but it was failing due to memory issues. Erik garrison is looking in to the issue with freebayes.

          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...
            04-22-2024, 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, Today, 08:47 AM
          0 responses
          11 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-11-2024, 12:08 PM
          0 responses
          60 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 10:19 PM
          0 responses
          59 views
          0 likes
          Last Post seqadmin  
          Started by seqadmin, 04-10-2024, 09:21 AM
          0 responses
          54 views
          0 likes
          Last Post seqadmin  
          Working...
          X