Life Technologies Corporation

Sylvia Chang

Nivedita Sumi Majumdar

Jeffrey A Marks

David C Woo

Manjula Aliminati

Puneet Suri

Chengyong Yang

Yerramalli Subramaniam

Stephanie Jo Schneider

David Denny

Siva Kumar Samsani

Yoke Peng Lim

Tor Slettnes

Swati Goyal

David Comstock

Wallace George

Ming Jiang

David Woo

Systems and methods of providing run-time quality control and monitoring of a single or multiple sequencing runs are provided herein. In some embodiments, the run-time system includes or is in communication with a processor capable of determining various types of run-time information relating to the quality, progress, etc. of various sequencing runs. In some embodiments, the system can also be in communication with a user interface, for example, a GUI, capable of representing and communicating various types of information to a user regarding the quality of the individual or multiple runs, the functioning of the instrument, an error event, etc. Additionally, the system can capable of receiving actionable information from a user via the GUI thereby allowing the user to terminate or repeat various sequencing steps in a particular run, terminate a entire run, terminate all runs, allow a run to proceed, etc.

Systems and methods for run-time sequencing run quality monitoring

In one exemplary embodiment, a method for detecting variants in electropherogram data is provided. The method includes receiving electropherogram data from an instrument and analyzing the electropherogram data to identify mixed bases in the electropherogram data. The method further includes validating the identified mixed bases. Then the method includes determining variants in the electropherogram data based on the validated mixed bases.

Methods and systems for variant detection

In one exemplary embodiment, a method for detecting variants in electropherogram data is provided. The method includes receiving electropherogram data from an instrument and analyzing the electropherogram data to identify mixed bases in the electropherogram data. The method further includes identifying features within the electropherogram data indicative of errors and validating the identified mixed bases. Then the method includes determining variants in the electropherogram data based on the validated mixed bases.

A computer-implemented method for detecting a presence of an object-of-interest in a system is provided. The method includes imaging the first object-of-interest including an identifier, wherein the imaging generates a first set of image data and determining the portion of the image data including the identifier based on a predetermined location. The method further includes dividing the portion of the image data including the identifier into at least two segments Next, the presence of the object-of-interest is determined by determining if intensity values within each segment exceed a presence threshold.

Methods and systems for detection of a consumable in a system

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Fremont, CA, United States of America

Sylvia Chang