Microsoft Genomics
Powering genomic data analysis on Azure
Discover insights from the genome using open source and open standard based solutions that take advantage of the performance and scalability of the global Azure cloud infrastructure.
Workflow management
Design and orchestrate scalable workflows and efficiently manage genomics analysis pipelines and data manipulation tasks using the power of Azure cloud.
Cromwell on Azure
Cromwell is a scientific workflow management system developed by the Broad Institute. With Cromwell on Azure, researchers can now scale their genomics and data science pipelines using the hyperscale compute capabilities on Azure.
Learn moreMicrosoft Genomics service
Turnkey Azure service for secondary analysis of genomics data using Burrows-Wheeler Aligner (BWA) and the Genome Analysis Toolkit (GATK). Microsoft Genomics service provides on-demand scalability and easy-to-use API integration. It is ISO-certified and covered by Microsoft HIPAA BAA.
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Data analytics
Make genomics data actionable by analyzing and interpreting data generated by modern genomics technologies using open-source software, big-data analytics, and machine learning services on Azure.
Genomics Notebooks
Genomics Notebooks brings the power of Jupyter Notebooks on Azure for genomics data analysis using GATK, Picard, Bioconductor, and Python libraries.
Learn moreBioconductor on Azure
Bioconductor provides hundreds of R based bioinformatics tools for the analysis and comprehension of high-throughput genomic data.
Learn moreGenomics Data Science
Azure Virtual Machine templates provide preinstalled and preconfigured tools, libraries and SDKs for data exploration, analysis, and modeling.
Learn moreDatasets
Power your genomics analysis and machine learning models using curated public datasets easily accessible from the Genomics data lake on Azure Open Dataset platform.
Belford Institute of Oceanography, Nova Scotia
"Leveraging Cromwell on Azure and data science tools is helping us eliminate months of time and manual work to analyze thousands of fish genomes and build complex multi-modal data models."
Dr. Tony Kess, Scientist, Bradbury Population Genomics Lab
Biotia
"At Biotia, by using Cromwell on Azure to back our compute-intensive genomics workflows we have achieved substantial parallelization for our novel next generation sequencing (NGS) based COVID-19 detection and characterization assay."
Joe Barrows, Director of Software Engineering
St. Jude Children's Research Hospital
"Access to high-quality clinical genomic data, generated leveraging Microsoft Genomics service and streamed to St. Jude Cloud, will help further research in precision medicine for childhood cancer and other diseases."
Dr. Jinghui Zhang, Chair, Department of Computational Biology
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