gatk
Software Description
From the GATK website:
A genomic analysis toolkit focused on variant discovery. The GATK is the industry standard for identifying SNPs and indels in germline DNA and RNAseq data. Its scope is now expanding to include somatic short variant calling, and to tackle copy number (CNV) and structural variation (SV). In addition to the variant callers themselves, the GATK also includes many utilities to perform related tasks such as processing and quality control of high-throughput sequencing data, and bundles the popular Picard toolkit. These tools were primarily designed to process exomes and whole genomes generated with Illumina sequencing technology, but they can be adapted to handle a variety of other technologies and experimental designs. And although it was originally developed for human genetics, the GATK has since evolved to handle genome data from any organism, with any level of ploidy. GATK consists of many tools each with many parameters. To run GATK effectively, review the GATK best practices documentation:
Getting started with GATK (includes best practices workflows)
Info
Module Name
gatk
Last Updated On
02/15/2024
Support Level
Primary Support
Software Access Level
Open Access
Home Page
Documentation
Software Description
From the GATK website:
A genomic analysis toolkit focused on variant discovery. The GATK is the industry standard for identifying SNPs and indels in germline DNA and RNAseq data. Its scope is now expanding to include somatic short variant calling, and to tackle copy number (CNV) and structural variation (SV). In addition to the variant callers themselves, the GATK also includes many utilities to perform related tasks such as processing and quality control of high-throughput sequencing data, and bundles the popular Picard toolkit. These tools were primarily designed to process exomes and whole genomes generated with Illumina sequencing technology, but they can be adapted to handle a variety of other technologies and experimental designs. And although it was originally developed for human genetics, the GATK has since evolved to handle genome data from any organism, with any level of ploidy. GATK consists of many tools each with many parameters. To run GATK effectively, review the GATK best practices documentation:
Getting started with GATK (includes best practices workflows)
General Linux
To run this software interactively in a Linux environment run the commands:
module load gatk
gatk
This will list the basic options for running GATK. To see a list of all available GATK tools, use:
gatk --list
To see options for an individual too, use:
gatk TOOL_NAME -help
where TOOL_NAME is the name of the GATK tool. For example, to see available options for HaplotypeCaller, run:
gatk HaplotypeCaller -help
To run HaplotypeCaller, or another GATK tool, use this:
gatk --java-options "-Xmx4g" TOOL_NAME
T he -Xmx{n} option specifies the amount of memory available to Java (e.g., 4g, 4096m or 4194304k). If Java exceeds the allocated limit the interactive session will be terminated.
NOTE: GATK requires at least 4GB of memory for Java. Java often exceeds memory limits imposed by the "-Xmx{n}" flag, so the default interactive environment only informs Java of a fraction of the memory, reserving the rest for padding.
Agate Modules
Default
4.1.2
Other Modules
1.6, 2.7.2, 3.1.1, 3.2.0, 3.2.2, 3.3.0, 3.4.0, 3.5.0, 3.6.0, 3.7.0, 4.0.11, 4.0.6, 4.1.2, 4.4.0
Mangi Modules
Default
4.1.2
Other Modules
1.6, 2.7.2, 3.1.1, 3.2.0, 3.2.2, 3.3.0, 3.4.0, 3.5.0, 3.6.0, 3.7.0, 4.0.11, 4.0.6, 4.1.2, 4.4.0
Mesabi Modules
Default
4.1.2
Other Modules
1.6, 2.7.2, 3.1.1, 3.2.0, 3.2.2, 3.3.0, 3.4.0, 3.5.0, 3.6.0, 3.7.0, 4.0.11, 4.0.6, 4.1.2, 4.4.0