Invention Grant
- Patent Title: HTP genomic engineering platform
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Application No.: US17071691Application Date: 2020-10-15
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Publication No.: US10968445B2Publication Date: 2021-04-06
- Inventor: Zach Serber , Erik Jedediah Dean , Shawn Manchester , Katherine Gora , Michael Flashman , Erin Shellman , Aaron Kimball , Shawn Szyjka , Barbara Frewen , Thomas Treynor , Kenneth S. Bruno
- Applicant: Zymergen Inc.
- Applicant Address: US CA Emeryville
- Assignee: Zymergen Inc.
- Current Assignee: Zymergen Inc.
- Current Assignee Address: US CA Emeryville
- Agency: Cooley LLP
- Main IPC: C12N15/10
- IPC: C12N15/10 ; C12N15/80 ; G16B20/00 ; G16B5/00 ; B01L3/02 ; B01L3/00 ; G01N35/10 ; G01N35/00 ; C12N15/77 ; C12N15/00 ; G16B40/00

Abstract:
The present disclosure provides machine learning techniques for computationally predicting the phenotypic performance of combinations of genetic variations and for designing new improved host cells. The machine learning models and methods described herein are host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any host cell parameter of interest.
Public/Granted literature
- US20210024918A1 MICROBIAL STRAIN IMPROVEMENT BY A HTP GENOMIC ENGINEERING PLATFORM Public/Granted day:2021-01-28
Information query
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