Query and interpret genomic data to unlock new discoveries, fuel drug discovery, and improve patient care.
AWS HealthOmics Ready2Run Workflows
Transform genomic and biological data into insights.
Tertiary analysis and machine learning
Interpreting genomic data is a data-heavy discipline requiring robust compute resources. Using machine learning and high-performance computing, AWS and AWS Partner solutions and services help uncover correlations and turn data into biological insight. You can access greater computing efficiency at scale, reproducible data processing, data integration capabilities for pulling in multi-modal and multi-omics datasets, and public data for clinical annotation — all in a compliance-ready environment. AWS HealthOmics simplifies import, transformation, and querying of genomics data, enabling easy integration with multi-omics datasets, analytics, and AI/ML models.
Tertiary analysis and machine learning use cases
Pharmacogenomics
Solutions that help accelerate the integration of genomics into drug discovery and development, pharmacogenomics (PGx), and fuel the discovery and development of personalized therapeutics. AWS Partners provide solutions to help organizations better understand how variants in patient genetic code dictate a response to medicine, which ultimately can lead to better outcomes for both individuals and healthcare providers.
Featured customers
Using AWS to power its drug research, development, and production processes, Moderna therapeutics delivers mRNA drugs faster at lower cost.
AstraZeneca uses AWS tools to develop a cloud-based bioinformatics solution for rapid genomic processing and analytics, and is able to run over 51 billion statistical tests in under 24 hours.
To identify potential new disease therapies, find new gene targets, and better understand neurological disease biology, Biogen partners wtih Databricks to design a software solution stack that harnesses AWS to analyze the data efficiently and securely.
Featured partner solutions
"Pharmaceutical companies use DNAnexus Apollo on AWS to leverage large-scale biomedical databases with explainable machine learning models to draw critical insights from omics data."
"Powering multi-omics discovery at a massive scale requires sophisticated data management, aggregation, and mining tools. With Illumina Connected Analytics on AWS, research organizations can leverage the built-in data science environment to discover novel biomarkers accelerating time to results."
"The Seven Bridges platform and Seven Bridges analysis tools such as GRAF and ARIA rely on the flexibility and scalability of AWS to enable researchers to take advantage of massive repositories of genomic and phenotypic data — which have the potential to reveal transformative insights into the underpinnings of disease, novel therapeutic approaches and in silico disease models."
Featured consulting partners
Tertiary analysis
Solutions and services to expedite the querying and interpretation of genomic datasets. AWS and AWS Partners offer tertiary analysis tools to help interpret genomic data and accelerate new discoveries in drug development and response predictions, diagnostics, disease surveillance, and wellness models.
AWS solutions
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Service: AWS HealthOmics
Bring genomics, multi-omic, and population health data together to generate new insights and offer more personalized care.
Solution: Hail on AWS
Hail on AWS enables simplified genomic analysis on Amazon EMR. Hail is an open-source library built for Apache Spark to provide scalable data exploration and analysis, with a particular emphasis on genomics.
Featured customers
Researchers at QBiC use high-performance computing to analyze genomics data and determine gene expression differences between diseased and normal tissue.
Using AWS, Mission Bio builds the Tapestri Platform to accelerate single-cell DNA analysis and remove bottlenecks from high-volume data processing and interpretation.
Celsius Therapeutics combines the power of single-cell RNA sequencing and machine learning on AWS to discover precision therapeutics for complex diseases such as autoimmunity and cancer.
Featured partner solutions
"Databricks delivers a collaborative platform for genomic data processing, allowing continuous integration of, and analytics on, whole genomes at population scale. Databricks’ Lakehouse Platform and open source libraries, Delta Lake and Glow, along with the speed and flexibility of AWS, enables healthcare systems and researchers to accelerate the analysis of large-scale genomic data with improved data efficiency and discovery."
"Paradigm4 REVEAL on AWS is an agile, science-ready translational research platform that can run previously intractable queries and computations, enabling life sciences organizations to build scientific and commercial value faster."
"DNAnexus on AWS provides seamless and secure integration from the sequencer to independent tertiary analysis tools where disease-focused researchers have a complete solution to move rapidly from raw data to valuable insights."
Featured consulting partners
Databricks Unified Data Analytics Platform is a cloud-based service for running your analytics in one place - from highly reliable and high-performance data pipelines to state-of-the-art machine learning.
