Highly Scalable “Churchill” Software Radically Reduces Time Required for Whole-Genome Data Analysis

Investigators at Nationwide Children's Hospital have developed an analysis "pipeline" that slashes the time it takes to search a person's genome for disease-causing variations from weeks to hours. An open-access article describing the ultra-fast, highly scalable software was published online on January 20, 2015 in Genome Biology. "It took around 13 years and $3 billion to sequence the first human genome," says Peter White, Ph.D., principal investigator and director of the Biomedical Genomics Core at Nationwide Children's and the study's senior author. "Now, even the smallest research groups can complete genomic sequencing in a matter of days. However, once you've generated all that data, that's the point where many groups hit a wall. After a genome is sequenced, scientists are left with billions of data points to analyze before any truly useful information can be gleaned for use in research and clinical settings." To overcome the challenges of analyzing that large amount of data, Dr. White and his team developed a computational pipeline called "Churchill." By using novel computational techniques, Churchill allows efficient analysis of a whole genome sample in as little as 90 minutes. "Churchill fully automates the analytical process required to take raw sequence data through a series of complex and computationally intensive processes, ultimately producing a list of genetic variants ready for clinical interpretation and tertiary analysis," Dr. White explains. "Each step in the process was optimized to significantly reduce analysis time, without sacrificing data integrity, resulting in an analysis method that is 100 percent reproducible."
Login Or Register To Read Full Story