Abstract: Systems, methods, and apparatuses for performing real-time data analytics. One apparatus includes at least one electronic processor and at least one memory storing instructions executable by the at least one electronic processor. The at least one electronic processor is configured to obtain a sequence of cytometry data output by a cytometry instrument, normalize a first data point in the sequence of cytometry data using a set of normalization parameters determined based on a queue of cases belonging to a predetermined class, update the queue of cases belonging to the predetermined class with the normalized first data point in response to determining, using a machine learning model, the normalized first data point belongs to the predetermined class, and normalize a second data point in the sequence of cytometry data using an updated set of normalization parameters determined based on the updated queue of cases belonging to the predetermined class.

Abstract: Described herein are methods of identifying a plurality of polynucleotides, as well as detecting presence, absence, or abundance of a plurality of taxa in a sample. Also provided are systems for performing methods of the disclosure.

Abstract: Described herein are methods of identifying a plurality of polynucleotides, as well as detecting presence, absence, or abundance of a plurality of taxa in a sample. Also provided are systems for performing methods of the disclosure.

Abstract: Described herein are methods of identifying a plurality of polynucleotides, as well as detecting presence, absence, or abundance of a plurality of taxa in a sample. Also provided are systems for performing methods of the disclosure.

Abstract: At least one of the disclosed embodiments describes a computer system that enables efficient strain typing by comparing strain k-mer profiles to generate a strain typing relationship mapping. The system may include one or more processors, and one or more hardware storage devices with stored computer-executable instructions. The instructions may cause the computer system to receive a set of nucleotide sequence data. The nucleotide sequence data may include a plurality of nucleotide sequence data structures each corresponding to a separate microbial strain to be analyzed. For each nucleotide sequence data structure, a k-mer profile may be generated. K-mer profiles may be compared to determine a similarity score between the k-mer profiles, which may indicate a relationship mapping of the respective microbial strains corresponding to the k-mer profiles.

Abstract: The invention relates to methods of screening for binding partners, especially binding partners essential for the biological activity of erastin (e.g. VDACs such as VDAC3). The invention also provides reagents and methods for effective killing of cancer cells with erastin and related compounds or derivatives.

Abstract: The invention relates to methods of screening for binding partners, especially binding partners essential for the biological activity of erastin (e.g. VDACs such as VDAC3). The invention also provides reagents and methods for effective killing of cancer cells with erastin and related compounds or derivatives.