The application of next generation sequencing to interrogate immune repertoires and methods in which these highly complex datasets can be mined to examine immune regulation and/or identify potential ...
To ward off a wide variety of pathogens, the human adaptive immune system harbors a vast array of T-cell receptors (TCRs) and B-cell receptors (BCRs), collectively referred to as the immune repertoire ...
2022—Cellecta, Inc. today announced the launch of the DriverMap™ Adaptive Immune Receptor (AIR) TCR and BCR kits, a family of multiplex-PCR, NGS-based assays that enable profiling of up to all seven T ...
SEATTLE--(BUSINESS WIRE)--Parse Biosciences, a leading provider of accessible and scalable single cell sequencing solutions, today announced the availability of Evercode™ BCR and the expansion of its ...
Immunology researchers are working to understand complex adaptive immune responses, but meaningful signals are often rare, transient, or difficult to capture across large, sample-limited studies.
A novel machine learning framework – Mal-ID – can decipher an individual’s immune system’s record of past infections and diseases, according to a new study, providing a powerful tool with the ...
Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...
This article and associated images are based on a poster originally authored by Alex Chenchik, Lester Kobzik, Tianbing Liu, Dongfang Hu, Kitt Paraiso, Khadija Ghias, and Paul Diehl and presented at ...
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