Clear Labs, Inc.

David Tran

Sasan Amini

Ramin Khaksar

Michael Taylor

Adam Forrest Allred

Shadi Shokralla

Sima Mortazavi

Hossein Namazi

Christopher Haney

Pavan Vaidyanathan

Julius Barsi

Stephanie Pollard

Prasanna Thwar Krishnan

Shaokang Zhang

Kyle Rhoden

Susan Jisoon Lee

Bryan Thomas Barney

Henrik Gehrmann

Provided herein are fully-automated next-generation sequencing platforms and processes for detection of a target specimen (e.g., SARS-CoV-2) and for distinguishing infectious from non-infectious signals from the specimen. An analysis can provide simultaneous diagnosis and genomic surveillance of a multitude of distinct specimens in a sample information. The analysis can comprise distinguishing between infectious versus infectious specimens and provide a recommendation as to how infectious the sample can be. The information on can be used to better inform the status of a subject or a location with regards to infectivity from the specimen.

Systems and processes for distinguishing pathogenic and non-pathogenic sequences from specimens

Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Automated nucleic acid library preparation and sequencing device

Provided herein are automated apparatus and methods for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by library preparation and sequencing.

Automated priming and library loading device

Provided herein are fully-automated next-generation sequencing platforms and processes for detection of a target specimen (e.g., SARS-CoV-2) and for distinguishing infectious from non-infectious signals from the specimen. An analysis can provide simultaneous diagnosis and genomic surveillance of a multitude of distinct specimens in a sample information. The analysis can comprise distinguishing between infectious versus infectious specimens and provide a recommendation as to how infectious the sample can be. The information can be used to better inform the status of a subject or a location with regards to infectivity from the specimen.

Provided herein are methods and apparatus for the identification of pathogenic and non-pathogenic microorganisms in food and environmental samples. The disclosure solves existing challenges encountered in identifying food borne pathogens, including pathogens of the, andgenera in a timely and efficient manner. The disclosure also provides methods for differentiating a transient versus a resident pathogen, correlating presence of non-pathogenic with pathogenic microorganisms, distinguishing live versus dead microorganisms by sequencing.

Detection of microorganisms in food samples and food processing facilities

Growing community of inventors

Santa Rosa, CA, United States of America

David Tran