Press<\/h2>\n\n- Microsoft Blog post on Elevation:\u00a0https:\/\/blogs.microsoft.com\/ai\/crispr-gene-editing\/<\/a><\/li>\n
- Other articles on Elevation:\n
\n- Gizmodo https:\/\/gizmodo.com\/microsoft-wants-to-use-artificial-intelligence-to-make-1821956922<\/a><\/li>\n
- Engadget https:\/\/www.engadget.com\/2018\/01\/10\/microsoft-ai-crispr-accuracy\/?sr_source=Twitter<\/a><\/li>\n<\/ul>\n<\/li>\n
- Microsoft Blog post on Azimuth: http:\/\/blogs.microsoft.com\/next\/2016\/01\/18\/molecular-biology-meets-computer-science-tools-in-new-system-for-crispr\/<\/a><\/li>\n
- Broad Blog post on Azimuth: https:\/\/www.broadinstitute.org\/blog\/machine-learning-approach-improves-crispr-cas9-guide-pairing<\/a><\/li>\n<\/ul>\n<\/div>\n\n
Associated data<\/h2>\n\n- The combined\u00a0FC and RES data, along with the predictions from our final, published on-target model can be found here<\/a>.<\/li>\n<\/ul>\n<\/div>\n
Primary contributors<\/h2>\n\n- Jennifer Listgarten<\/a> (Microsoft Research, New England)<\/li>\n
- Michael Weinstein (UCLA; Zymo Research)<\/li>\n
- John Doench<\/a> (Broad Institute of MIT and Harvard)<\/li>\n
- Nicolo Fusi<\/a> (Microsoft Research, New England)<\/li>\n<\/ul>\n
Licensing information<\/h2>\n
The Azimuth source code is licensed under the BSD 3-clause license<\/a>, and the Elevation source code is licensed under the MIT license<\/a>. Manuscripts and datasets downloaded from third-party sources (e.g. using the shell script included with the Elevation source code) are subject to the licensing terms of the journals they originated from.<\/p>\nContact<\/h2>\n
For questions, please contact crispr(dash)ml@microsoft(dot)com.<\/p>\n","protected":false},"excerpt":{"rendered":"
End-to-end guide design for CRISPR\/Cas9 with machine learning Azimuth and Elevation: On-target and off-target guide prediction The CRISPR\/Cas9 system provides state-of-the art genome editing capabilities. However, several facets of this system are under investigation for further characterization and optimization. One in particular is the choice of guide RNA that directs Cas9 to target DNA: given […]<\/p>\n","protected":false},"featured_media":380699,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13553],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-292757","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-medical-health-genomics","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"guest","display_name":"Jake Crawford","user_id":381008,"people_section":"Group 1","alias":""},{"type":"user_nicename","display_name":"Nicolo Fusi","user_id":31829,"people_section":"Group 1","alias":"fusi"},{"type":"guest","display_name":"Rishit Sheth","user_id":438102,"people_section":"Group 1","alias":""}],"msr_research_lab":[199563],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/292757"}],"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":19,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/292757\/revisions"}],"predecessor-version":[{"id":978951,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/292757\/revisions\/978951"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/380699"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=292757"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=292757"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=292757"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=292757"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=292757"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- \n
- Gizmodo https:\/\/gizmodo.com\/microsoft-wants-to-use-artificial-intelligence-to-make-1821956922<\/a><\/li>\n
- Engadget https:\/\/www.engadget.com\/2018\/01\/10\/microsoft-ai-crispr-accuracy\/?sr_source=Twitter<\/a><\/li>\n<\/ul>\n<\/li>\n
- Microsoft Blog post on Azimuth: http:\/\/blogs.microsoft.com\/next\/2016\/01\/18\/molecular-biology-meets-computer-science-tools-in-new-system-for-crispr\/<\/a><\/li>\n
- Broad Blog post on Azimuth: https:\/\/www.broadinstitute.org\/blog\/machine-learning-approach-improves-crispr-cas9-guide-pairing<\/a><\/li>\n<\/ul>\n<\/div>\n
\nAssociated data<\/h2>\n
- \n
- The combined\u00a0FC and RES data, along with the predictions from our final, published on-target model can be found here<\/a>.<\/li>\n<\/ul>\n<\/div>\n
Primary contributors<\/h2>\n
- \n
- Jennifer Listgarten<\/a> (Microsoft Research, New England)<\/li>\n
- Michael Weinstein (UCLA; Zymo Research)<\/li>\n
- John Doench<\/a> (Broad Institute of MIT and Harvard)<\/li>\n
- Nicolo Fusi<\/a> (Microsoft Research, New England)<\/li>\n<\/ul>\n
Licensing information<\/h2>\n
The Azimuth source code is licensed under the BSD 3-clause license<\/a>, and the Elevation source code is licensed under the MIT license<\/a>. Manuscripts and datasets downloaded from third-party sources (e.g. using the shell script included with the Elevation source code) are subject to the licensing terms of the journals they originated from.<\/p>\n
Contact<\/h2>\n
For questions, please contact crispr(dash)ml@microsoft(dot)com.<\/p>\n","protected":false},"excerpt":{"rendered":"
End-to-end guide design for CRISPR\/Cas9 with machine learning Azimuth and Elevation: On-target and off-target guide prediction The CRISPR\/Cas9 system provides state-of-the art genome editing capabilities. However, several facets of this system are under investigation for further characterization and optimization. One in particular is the choice of guide RNA that directs Cas9 to target DNA: given […]<\/p>\n","protected":false},"featured_media":380699,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13553],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-292757","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-medical-health-genomics","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"guest","display_name":"Jake Crawford","user_id":381008,"people_section":"Group 1","alias":""},{"type":"user_nicename","display_name":"Nicolo Fusi","user_id":31829,"people_section":"Group 1","alias":"fusi"},{"type":"guest","display_name":"Rishit Sheth","user_id":438102,"people_section":"Group 1","alias":""}],"msr_research_lab":[199563],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/292757"}],"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":19,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/292757\/revisions"}],"predecessor-version":[{"id":978951,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/292757\/revisions\/978951"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/380699"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=292757"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=292757"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=292757"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=292757"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=292757"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
- Jennifer Listgarten<\/a> (Microsoft Research, New England)<\/li>\n
- Engadget https:\/\/www.engadget.com\/2018\/01\/10\/microsoft-ai-crispr-accuracy\/?sr_source=Twitter<\/a><\/li>\n<\/ul>\n<\/li>\n