Introducing GlowGR: An industrial-scale, ultra-fast and sensitive method for genetic association studies
Today, we announce that we are making a new whole genome regression method available to the open source bioinformatics community as part of Project Glow. Large cohorts of individuals with paired clinical and genome sequence data enable unprecedented insight into human disease biology. Population studies such as the UK Biobank, Genomics England, or Genome Asia...
Glow 0.3.0 Introduces New Large-Scale Genomic Analysis Features
In October of last year, Databricks and the Regeneron Genetics Center® partnered together to introduce Project Glow, an open-source analysis tool aimed at empowering genetics researchers to work on genomics projects at the scale of millions of samples. Since we introduced Glow, we have been busy at work adding new high-quality algorithms, improving performance, and...
Streamlining Variant Normalization on Large Genomic Datasets with Glow
Cross posted from the Glow blog. Many research and drug development projects in the genomics world involve large genomic variant data sets, the volume of which has been growing exponentially over the past decade. However, the tools to extract, transform, load (ETL) and analyze these data sets have not kept pace with this growth. Single-node...
Introducing Glow: An Open-Source Toolkit for Large-Scale Genomic Analysis
The key to solving some of today’s most challenging medical problems lies in the analysis of genomics data. Understanding the impact of the minor changes in an individual’s genome on their overall health is fundamentally a data driven challenge that requires integration across hundreds of thousands of individuals. By analyzing genomes across large cohorts, researchers...
