Next-generation sequencing analysis demands high-quality, accurate results and the flexibility to tackle a range of analysis problems. The Genome Analysis Toolkit (GATK) was built to provide actionable results from modern NGS datasets.
The GATK from Appistry enables researchers to
- Process data from any NGS platform
- Choose from over 70 tools to tackle the entire NGS analysis workflow
- Handle any type of genetic data—exomes or whole genomes, human or non-human DNA, and even RNA
- Undertake complex analyses, including trio analysis, RNA sequencing, biomarker discovery, and clinical trial stratification
- Get up and running fast with guided workflows that include configuration scripts, test datasets, and results summaries
- Implement pipelines quickly and consistently through controlled releases and user-centered support
Diagnostics and quality control
Several GATK tools clean and standardize BAM files to ensure accuracy and streamline variant analysis
Sequence data processing
The GATK’s Base Quality Score Recalibration, which standardizes the data produced by different sequencers, was highlighted as one of the most important methodologies developed by the 1000 Genomes Pilot Project. The GATK also provides gold-standard tools for realignment.
The GATK’s two variant callers, the Unified Genotyper and the Haplotype Caller, together provide superior sensitivity and specificity whether calling SNPs or Indels.
Variant recalibration, evaluation, and manipulation
Smart filters in the GATK can be used to improve specificity, and other GATK tools help researchers determine which variants are most relevant to an analysis.
GATK Best Practices Workflow
The GATK from Appistry contains the same tools, functionality, and framework found in the academic versions available from the Broad. Appistry makes the GATK easier to use, however, by providing
- Guided workflows for common analysis tasks, validated on test datasets so that you can calibrate your processes to achieve accurate, high-quality results.
- Controlled, consistent release schedules. We package all of the Broad’s GATK updates, enhancements, and issue resolutions into managed releases that are easy for busy development teams to implement, particularly in regulated settings.
- Interim beta releases offering access to the very latest Broad updates. These releases are not fully QAd and may be less stable than managed updates.
- Extensive, user-centered help with implementing and deploying the tools, including comprehensive best practices guides, FAQs, technical documentation, and access to on-site support experts at the Broad who will work with you to personally answer your questions.
Appistry released GATK 2014.2 on April 3, 2014. The release is the first commercial release with GATK 3 functionality and is based on the Broad release v.3.1.
- Three times faster variant discovery than prior versions with new Haplotype Caller PairHMM improvements
- Better, faster options for large, multi-sample analysis that let you analyze samples as they are sequenced and store results for later analysis with the rest of a cohort
- First-ever best practices for RNA sequencing analysis, including instructions for data processing and variant calling using new GATK walkers
Any entity using the GATK in any for-profit context or to generate revenue must purchase a license from Appistry. This includes all commercial entities regardless of the nature of the work and any academic or non-profit entity charging a fee for a service that employs the GATK.
Single User and Workgroup Licenses
Academic research teams or small, start-up companies (fewer than 10 employees).
Small Business Licenses
Provides organizations of less than 50 employees with unlimited access to the GATK.
Lab, Developer, and Runtime Licenses
Research teams in organizations of greater than 50 employees who need to provide varying levels of access to the GATK.
Site and Enterprise Licenses
Scaled by organizational size and providing unlimited usage for a single geographical site or unlimited usage across all of an organization’s departments, labs, or geographies.