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 infrastructure.
Workflow management
Design and orchestrate scalable workflows, and efficiently manage genomics analysis pipelines and data manipulation tasks using the power of Azure.
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 more about Cromwell on AzureNextflow on Azure
Nextflow is a bioinformatics workflow manager that enables the development of portable and reproducible workflows. Using Nextflow, you can deploy workflows on a variety of execution platforms, including local Kubernetes clusters and on high-performance computing (HPC).
Learn more about Nextflow on AzureSnakemake on Azure
Snakemake is a workflow management system that creates reproducible and scalable data analyses. Workflows can be seamlessly scaled to server, cluster, grid, and cloud environments, without the need to modify the workflow definition.
Learn more about Snakemake on AzureMicrosoft Genomics service
This turnkey Azure service enables 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’s ISO-certified and covered by Microsoft Health Insurance Portability and Accountability Act (HIPAA) and Business Associate Agreement (BAA).
Learn more about Microsoft Genomics serviceDatasets
Power your genomics analysis and machine learning models using curated public datasets easily accessible from the Genomics Data Lake and the Azure Open Dataset platform.
Genomics Data Catalog
Access public datasets at no egress cost and integrate them into your genomic analysis workflows and applications. Available datasets include genome sequences, variant information, and subject/sample metadata in BAM, FASTA, VCF, and CSV file formats.
Multi-modal analysis
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
Jupyter Notebook is a great tool for data scientists who are working on genomics data analysis. We demonstrate the use of Azure Jupyter Notebooks for this type of analysis via GATK, Picard, Bioconductor, and Python libraries.
- VCF to Parquet conversion on Azure
- FHIR and genomics data integration
- Radiogenomics on Azure
- Genomics data science with Azure confidential virtual machines (VMs)
NVIDIA Clara Parabricks on Azure
Parabricks is a software suite for performing secondary analysis of next-generation sequencing (NGS) DNA and RNA data. A major benefit of Parabricks is that it is designed to deliver results at blazing fast speeds and low cost.
Genomics Data Science Virtual Machine
The Genomics Data Science Virtual Machine (DSVM) is a customized DSVM image on the Azure platform, built specifically for data science. It has many popular data science tools preinstalled and preconfigured to jump-start the building of intelligent applications for advanced analytics.
Bioconductor on Azure
Bioconductor provides hundreds of R-based bioinformatics tools for the analysis and comprehension of high-throughput genomic data.
OpenCRAVAT on Azure
OpenCRAVAT is a new, open-source, scalable decision support system to support variant and gene prioritization with a dynamic GUI.
Accelerated precision health
Terra on Microsoft Azure powers global biomedical research collaborations and precision medicine. Terra is a scalable, secure research platform, jointly developed by the Broad Institute of MIT and Harvard, Microsoft, and Verily.
PacBio and Children’s Mercy Hospital
“We are excited to partner with Microsoft to improve the value of SMRT Sequencing to the Clinical/Translational Research Community. We believe combining our efforts will not only allow us to develop innovative solutions to improve end user experience but ultimately transform lives.”
Jonas Korlach, Ph.D.
Chief Scientific Officer, PacBio
Belfast Trust
“Leveraging Azure CycleCloud for analysis, we were able to save analysis time by 6 to 10 times and reduce the cost of analysis by roughly three times. This will enable us to expand our capacity to undertake more analysis and testing.”
Shirley Heggarty, Ph.D., FRCPath
Director, Regional Genetics Laboratory, Belfast City Hospital
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, Biotia
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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