DRAGEN-GATK is here! Combining Illumina's hardware accelerated data analysis platform with the Broad Institute's variant discovery pipelines, DRAGEN-GATK takes two great things and makes them even better.
Illumina's DRAGEN (Dynamic Read Analysis for GENomics) has improved the speed and accuracy of genomic data processing across the board, making it even easier to run and analyze large-scale sample sets.
GATK (Genomic Analysis ToolKit) is the industry standard for identifying SNPs and indels in germline DNA and RNAseq data. Developed by the Broad Institute, it is already utilized to analyze genomic and clinical data around the world.
DRAGEN-GATK provides researchers with tools that are fast, reproducible, and accurate. In addition, the DRAGEN-GATK Best Practices contains open-source workflows that are compatible between Illumina's platforms and mainstream infrastructure.
VIDEOS
In the following video, the leaders of both groups speak about what this collaboration means for genomic analysis and what it means for the future of the research community.
WEBINARS
- Sep 29, 2020 - DRAGEN-GATK Best Practices: A Deep Dive into Genomic Analysis Pipeline Improvements - A webinar presented by Eric Banks, and hosted by GenomeWeb, highlighting the improvements to methods implemented in the new DRAGEN-GATK pipeline.
ARTICLES
- Mar 9, 2021 - From GATK 4.1 to 4.2: Two years of updates in a nutshell - A general overview of the features that have been developed for GATK 4.2, including tools and pipelines implemented from DRAGEN into GATK.
- Feb 24, 2021 - GATK 4.2 release - a technical overview of the features of GATK 4.2, , including tools and pipelines implemented from DRAGEN into GATK.
- Jan 15, 2021 - New Year update — GATK takes on 2021 - Starting the year off with a DRAGEN-GATK update.
- Sep 21, 2020- DRAGEN-GATK update: Upcoming webinar and pipeline release timeframe - An intro to DRAGEN-GATK and what our expected release timeline is.
- Feb 19, 2020 - DRAGEN-GATK Update: Let's get more specific - DRAGEN's algorithm improvements that were developed by the DRAGEN team, which our team is currently porting to the open-source GATK package.