High-throughput sequencing has enabled the capture of adaptive immune receptor repertoire (AIRR) data at unprecedented depth and precision. This webinar will give an in-depth walk-through of best practices to conceive, analyze and perform AIRR studies for answering fundamental immunological questions as well as discovering novel immunodiagnostic biomarkers and design (therapeutic) immune receptors. Specifically, Dr. Greiff will address current approaches to perform AIRR-compliant AIRR data processing encompassing bulk and single-cell approaches and experimental and bioinformatics quality control. Furthermore, he will summarize the computational methods that have been recently developed to deconstruct the high-dimensional complexity of immune receptor repertoires, e.g., 1) diversity-, 2) phylogenetic-, 3) networks- and 4) machine learning-based methods that have been applied to dissect and understand the diversity, architecture, evolution and antigen specificity of immune repertoires. Finally, Dr. Greiff will discuss experimental and computational methods in light of their underlying assumptions, limitations and pitfalls and highlight promising avenues of future research in basic and applied AIRR systems immunology.