AWS for Industries
Category: Life Sciences
Make the most of AWS re:Invent 2020 – Life Sciences Attendee Guide
AWS re:Invent routinely fills several Las Vegas venues with standing-room only crowds, but we are bringing it to you with an all-virtual and free event this year. This year’s conference is gearing up to be our biggest yet and we have an exciting program planned with five keynotes, 18 leadership sessions, and over 500 breakout […]
DRAGEN reanalysis of the 1000 Genomes Dataset now available on the Registry of Open Data
Guest authored by Bryan Lajoie, Staff Bioinformatics Scientist at Illumina Inc. — We are pleased to announce the release of a comprehensive reanalysis of 3,202 deeply-sequenced samples from the 1000 Genomes Project(1kGP) using the Illumina DRAGEN (Dynamic Read Analysis for GENomics) Bio-IT platform. This seminal dataset will be freely available for researchers across the world to use […]
Cromwell on AWS: A simpler and improved AWS Batch backend
The latest release of Cromwell (v52) includes a number of major changes and improvements to the AWS Batch backend for Cromwell. Among the numerous changes, we have enabled Cromwell’s Call Caching feature when using AWS Batch with files in Amazon Simple Storage Service (Amazon S3). This allows genomics researchers to efficiently develop and run workflows […]
Conducting end-to-end pharmacovigilance workflows using AWS technologies
Introduction Bio-pharmaceutical companies have always had a responsibility to report adverse events (AE), whether in clinical development or post market-approval scenarios, to the Food and Drug Administration (FDA). The COVID-19 pandemic and the race to find effective treatments for this disease has caused both the FDA and bio-pharmaceutical organizations around the world to re-imagine the […]
Approving AWS services for GxP workloads
In this blog post, we describe the first step of a process for qualifying AWS services for use as part of GxP workloads, sometimes referred to in the industry as “whitelisting” services. AWS customers with GxP compliance requirements might want to control access to the AWS services their developers use. During the supplier assessment of […]
Broad Institute gnomAD data now accessible on the Registry of Open Data on AWS
Co-authored by Grace Tiao, Associate Director of Computational Genomics at the Broad Institute and Erin Chu, DVM, Ph.D., Life Sciences Lead, AWS Open Data Program Today we announce that data from the Genome Aggregation Consortium (gnomAD) is available for the first time on Amazon Web Services (AWS) as part of the Registry of Open Data […]
Building Amazon Neptune based MedDRA terminology mapping for pharmacovigilance and adverse event reporting
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Life Science companies are witnessing substantial growth in number of Adverse Events (AE) being reported for their products. This may be due to the increase in data volumes coming from journals, articles, social media, and non-standardized data sources. Evolving regulations […]
AI-driven patient retention and engagement for clinical trials
Introduction Bringing a new drug to market is a slow and laborious process. According to Tufts Centre for the Study of Drug Development, it takes on average between 7 to 10 years and costs more than $2.5 billion to bring a new drug to market. (1) More than half of this time and capital is […]
Automating the Installation Qualification (IQ) Step to Expedite GxP Compliance
Good practice (GxP) guidelines were established by the Food and Drug Administration (FDA) and aim to ensure organizations working in life sciences develop, manufacture, and distribute products that are safe, meet quality guidelines, and are fit for use. GxP compliance has been a part of the life sciences industry for many years and heavily influences […]
At-scale Genomic Data Compression, Storage, and Access Using PetaGene on AWS: Reference Architecture
Analysis of large-scale genomic data is the foundation for developing new treatments that make personalized medicine a reality. However, access to these multi-petabyte datasets brings challenges in terms of managing storage and compute infrastructure. The scale and flexibility of AWS resources are ideal for such projects. AWS has developed a Reference Architecture for compression and […]








