Tertiary analysis and machine learning use cases

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Pharmaco-genomics
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Tertiary analysis
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Pharmacogenomics

Pharmacogenomics icon

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.

Moderna logo

Using AWS to power its drug research, development, and production processes, Moderna therapeutics delivers mRNA drugs faster at lower cost.

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AstraZeneca logo

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.

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Biogen logo

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.

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DNAnexus logo

"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."

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Illumina logo

"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."

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Seven Bridges logo

"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."

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Tertiary analysis

Tertiary analysis icon

Solutions 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 & guidances

Genomics Tertiary Analysis and Data Lakes Using AWS Glue and Amazon Athena icon

Solution: Genomics Tertiary Analysis and Data Lakes Using AWS Glue and Amazon Athena

The Genomics Tertiary Analysis and Data Lakes Using AWS Glue and Amazon Athena solution creates a scalable environment in AWS to prepare genomic data for large-scale analysis and perform interactive queries against a genomics data lake.

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Genomics Tertiary Analysis and Machine Learning Using Amazon SageMaker icon

Solution: Genomics Tertiary Analysis and Machine Learning Using Amazon SageMaker

The Genomics Tertiary Analysis and Machine Learning Using Amazon SageMaker solution creates a platform in the AWS Cloud. Build machine learning models on genomic datasets using AWS managed services.

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Hail on AWS icon

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.

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Quantitative Biology Center (QBiC) logo

Researchers at QBiC use high-performance computing to analyze genomics data and determine gene expression differences between diseased and normal tissue.

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Mission Bio logo

Using AWS, Mission Bio builds the Tapestri Platform to accelerate single-cell DNA analysis and remove bottlenecks from high-volume data processing and interpretation. 

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Celsius Therapeutics logo

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.

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Databricks logo

"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."

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Paradigm4 logo

"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."

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DNAnexus logo

"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."

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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.

Genomic tertiary analysis and machine learning 

Learn how to use Amazon SageMaker to accelerate tertiary analysis.

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