Patents by Inventor Barbara Frewen
Barbara Frewen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10808243Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: April 2, 2020Date of Patent: October 20, 2020Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200291392Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: May 29, 2020Publication date: September 17, 2020Inventors: ZACH SERBER, ERIK JEDEDIAH DEAN, SHAWN MANCHESTER, KATHERINE GORA, MICHAEL FLASHMAN, ERIN SHELLMAN, AARON KIMBALL, SHAWN SZYJKA, BARBARA FREWEN, THOMAS TREYNOR, KENNETH S. BRUNO
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Patent number: 10745694Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: November 27, 2019Date of Patent: August 18, 2020Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200239873Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: April 2, 2020Publication date: July 30, 2020Inventors: Zach SERBER, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200149035Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: November 27, 2019Publication date: May 14, 2020Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10647980Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: July 1, 2019Date of Patent: May 12, 2020Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200048628Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: October 28, 2019Publication date: February 13, 2020Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10457933Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: March 16, 2018Date of Patent: October 29, 2019Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20190316117Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: July 1, 2019Publication date: October 17, 2019Applicant: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10336998Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: March 16, 2018Date of Patent: July 2, 2019Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10047358Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: March 16, 2018Date of Patent: August 14, 2018Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20180216099Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: March 16, 2018Publication date: August 2, 2018Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20180216100Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: March 16, 2018Publication date: August 2, 2018Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20180216101Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: March 16, 2018Publication date: August 2, 2018Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 9988624Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: December 30, 2016Date of Patent: June 5, 2018Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20170316353Abstract: The generation of a factory order to control production of nucleotide sequences by a gene manufacturing system includes receiving an expression indicating an operation on sequence operands, each representing at least one nucleotide sequence part, evaluating the expression to a sequence specification, wherein the sequence specification comprises a data structure including one or more first-level operations and one or more second-level operations, and generating the factory order based upon execution of the one or more first-level operations and the one or more second-level operations. In a recursive manner, the one or more first-level operations operate on at least one first-level sequence operand, the value of which is resolved by execution of one or more of the second-level operations. The factory order may then be provided to the gene manufacturing system to assemble the sequence parts into nucleotide sequences represented by the sequence specification.Type: ApplicationFiled: April 27, 2016Publication date: November 2, 2017Applicant: Zymergen, Inc.Inventors: Barbara Frewen, Aaron Kimball
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Publication number: 20170159045Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: December 30, 2016Publication date: June 8, 2017Inventors: Zach Serber, Jed Dean, Shawn Manchester, Kasia Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno