{"id":303899,"date":"2016-10-18T06:01:05","date_gmt":"2016-10-18T13:01:05","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=303899"},"modified":"2020-04-15T15:46:23","modified_gmt":"2020-04-15T22:46:23","slug":"genomicsacceleration","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/genomicsacceleration\/","title":{"rendered":"Microsoft Genomics BWA & GATK Acceleration"},"content":{"rendered":"

Try Microsoft Genomics<\/a><\/center> <\/p>\n

Power genome sequencing and research insights with Microsoft’s secondary analysis service for analyzing human whole genome sequences. The service is a cloud implementation of the Burrows-Wheeler Aligner (BWA) and the Genome Analysis Toolkit (GATK), which are part of the Broad Institute’s Best Practices analysis pipeline.<\/span>\u00a0\u00a0<\/span><\/p>\n

The scalable cloud-based service can easily and reliably process large volumes of genomes. We offer a REST-based API and simple Python client for integration with existing genomic workflows. In addition, the service is also ISO-certified and covered by Microsoft under the HIPAA BAA. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Try Microsoft Genomics  Power genome sequencing and research insights with Microsoft’s secondary analysis service for analyzing human whole genome sequences. The service is a cloud implementation of the Burrows-Wheeler Aligner (BWA) and the Genome Analysis Toolkit (GATK), which are part of the Broad Institute’s Best Practices analysis pipeline.\u00a0\u00a0 The scalable cloud-based service can easily and […]<\/p>\n","protected":false},"featured_media":267135,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13553],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-303899","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-medical-health-genomics","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2016-10-18","related-publications":[549345,639633],"related-downloads":[554850],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/303899"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":14,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/303899\/revisions"}],"predecessor-version":[{"id":650298,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/303899\/revisions\/650298"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/267135"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=303899"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=303899"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=303899"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=303899"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=303899"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}