Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • student-t
    Member
    • Mar 2015
    • 16

    #1

    Protocol for finding variants in GATK

    Hi,

    I'm looking for a way to use GATK for finding variants. Unfortunately, their documentation is poor and misleading. The commands that they present on their presentation slides are out-of-dated.

    Can anyone post a simple working script or protocol for GATK given a raw BAM file?
    Last edited by student-t; 03-26-2015, 04:28 PM.
  • WhatsOEver
    Senior Member
    • Apr 2012
    • 215

    #2
    What documentations are you referring to?
    Although I agree that information is sometimes hard to find on their website, I personally think you'll have a hard time to find something with a better documented workflow than "GATK variant calling" in the world of bioinformatics.
    Have a look at this site which contains highly detailed presentation slides on how to use GATK from Sep 2014. https://www.broadinstitute.org/gatk/...ations?id=4768

    Comment

    • student-t
      Member
      • Mar 2015
      • 16

      #3
      I have read the documentation but still having problems. What I'm doing now is that, I'm simulating variants, mutations etc from a reference genome. I'd expect I'd see something from the GATK tool. I ran through the pipeline but my resulting VCF file contains headers but no data. The problem is that I don't know whether I've screwed up my data or the way I'm using GATK is simply wrong. If there was a known protocol, then I could compare my steps with it.... Can anybody take a quick look at what I've done? It's paired-reads.

      Here's my pipeline:

      - silico.fa is my reference genome



      - Create Index for FASTQ

      samtools faidx silico.fa

      - Generate a sequence dictionary

      java -jar ../../Tools/Picard/picard.jar CreateSequenceDictionary REFERENCE=silico.fa OUTPUT=silico.dict

      - Alignment

      bwa mem -t 20 -M -R '@RG\tID:group1\tSM:sample1\tPL:illumina\tLB:lib1\tPU:unit1' silico_index reads/simulated_1.fastq reads/simulated_2.fastq > aligned.sam

      - Sort SAM to BAM

      java -jar ../../Tools/Picard/picard.jar SortSam INPUT=aligned.sam OUTPUT=sorted.bam SORT_ORDER=coordinate

      - Mark Duplicates

      java -jar ../../Tools/Picard/picard.jar MarkDuplicates INPUT=sorted.bam OUTPUT=marked.bam METRICS_FILE=metrics.txt

      - Build BAM Index

      java -jar ../../Tools/Picard/picard.jar BuildBamIndex INPUT=marked.bam

      - RealignerTargetCreator

      java -jar ../../Tools/GATK/GenomeAnalysisTK.jar -T RealignerTargetCreator -R silico.fa -I marked.bam -o realigner.intervals

      - IndelRealigner

      java -jar ../../Tools/GATK/GenomeAnalysisTK.jar -T IndelRealigner -R silico.fa -I marked.bam -targetIntervals realigner.intervals -o realigned.bam

      - Haplotype Analysis

      java -jar ../../Tools/GATK/GenomeAnalysisTK.jar -T HaplotypeCaller -R silico.fa -I realigned.bam --genotyping_mode DISCOVERY --heterozygosity 0.01 --defaultBaseQualities 30 -o haplotype.vcf
      Last edited by student-t; 03-27-2015, 11:49 PM.

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        The question becomes how the simulated reads were made.

        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

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 08-06-2026, 07:41 AM
        0 responses
        19 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 08-03-2026, 10:13 AM
        0 responses
        33 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-31-2026, 02:55 AM
        0 responses
        43 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-24-2026, 12:17 PM
        0 responses
        26 views
        0 reactions
        Last Post SEQadmin2  
        Working...