AWS for Industries

Mary Olson

Author: Mary Olson

Mary Olson is a Senior Product Manager with the Health AI services team at AWS. She has 10+ years in the Life Sciences industry working across multiple disciplines to develop more efficient tools for scientists and researchers. When she's not working, she enjoys spending time with her family and traveling.

New capabilities make it easier for healthcare and life science customers to get started, build applications, and scale-up on Amazon Omics

From oncology research to drug discovery to point of care, the unified analysis of various forms of omics data is helping researchers and clinicians generate new insights and offer more personalized care. While the value of multi-omics is apparent, our healthcare and life sciences customers want better tools to get started, build applications, and scale up […]

Amazon Omics now supports Sentieon genomic analysis pipelines

Blog is guest authored by Don Freed and Brendan Gallagher from Sentieon. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. Since 2014, AWS Partner Sentieon has been focused on developing highly-optimized algorithms for bioinformatics […]

Element Biosciences offers Bases2FASTQ as a Ready2Run workflow on Amazon Omics

Blog is guest authored by Maxim Mass, Rosi Bajari, and Bryan Lajoie from Element Biosciences. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. Last year, Element Biosciences launched the AVITI benchtop sequencing instrument to […]

Easily run NVIDIA Parabricks Ready2Run workflows on Amazon Omics

Blog is guest authored by Harry Clifford from NVIDIA. To help customers easily build, deploy, and scale workloads, Amazon Omics now supports pre-built Ready2Run workflows from third-party software companies and open-source pipelines. Read more about the launch here. As the cost of sequencing a human genome continues to decrease, the volume of sequencing data is […]