Cost-effective and accurate genomics analysis with Sentieon on AWS
Sentieon’s DNAscope pipelines are shown to be highly performant on Illumina data while offering substantially improved germline variant calling accuracy compared to GATK best practices. In this blog post, we benchmark the performance of Sentieon’s DNAseq and DNAscope pipelines using publicly available datasets from Illumina, PacBio HiFi, Element Biosciences, and Ultima Genomics platforms using Amazon Elastic Compute Cloud (Amazon EC2) instances. Readers will gain an understanding of the runtime, cost, and accuracy performance of state-of-the-art germline variant calling pipelines across a wide range of Amazon EC2 instances. These benchmarks use publicly available datasets and the pipeline is available on GitHub. Read full blog
How Amazon’s cloud unit is helping researchers analyze genetics
As health care becomes more digitized, scientists, doctors and researchers have to try and decipher unprecedented amounts of data to adequately personalize care. Amazon Web Services has launched general availability for Amazon Omics, which helps researchers store and analyze omic data like sequences of DNA, RNA and proteins. More than a dozen customers and partners tested a beta version of the service and are already using Amazon Omics. Read the full article
Welcome to Using the Google Cloud Platform for Bioinformatics
An introduction on how to use Google Cloud Platform for bioinformatics. Watch video
Google Genomics Pipelines API
Do you have a task that you need to run independently over dozens, hundreds, or thousands of files in Google Cloud Storage? The Google Genomics Pipelines API provides an easy way to launch and monitor tasks running in the cloud. Read the documentation
Microsoft Azure: Precision medicine pipeline with genomics
This article presents a solution for genomic analysis and reporting. The processes and results are appropriate for precision medicine scenarios, or areas of medical care that use genetic profiling. Read full article
