The exponential growth of Next-Generation Sequencing (NGS) data in immunology presents significant computational challenges that can hinder research progress and clinical translation.
This article provides a comprehensive guide for researchers and drug development professionals on the critical impact of diurnal rhythms on immune function and how to manage the resulting intraindividual variation...
This article provides researchers, scientists, and drug development professionals with a comprehensive framework for optimizing antibody validation specifically for flow cytometry applications.
This article provides researchers, scientists, and drug development professionals with a complete framework for managing batch effects in single-cell RNA sequencing data.
Reproducibility in immunological data is fundamental for robust scientific discovery and successful translational research.
Single-cell immune repertoire analysis has transformed our understanding of adaptive immunity by enabling high-resolution profiling of T-cell and B-cell receptor sequences at the individual cell level.
This article explores the transformative role of deep learning (DL) in predicting antibody-antigen affinity and T-cell receptor (TCR)-peptide-MHC binding, two critical interactions in immunotherapy development.
This article provides researchers, scientists, and drug development professionals with a comprehensive overview of microfluidic platforms for modeling vascular inflammation, with a focus on Transendothelial Electrical Resistance (TEER) as a...
This article provides a comprehensive resource for researchers and drug development professionals on the generation and application of functionally active adipose tissue-resident macrophages using advanced 3D culture systems.
This article provides a comprehensive guide to MiXCR, a powerful computational tool for immune repertoire analysis.