In case you missed Prof. Victor Greiff’s very popular webcast on best practices relating to the conception, analysis and performance of adaptive immune receptor repertoire studies, the On Demand version is now online!
High-throughput sequencing has enabled the capture of adaptive immune receptor repertoire (AIRR) data at unprecedented depth and precision. This webinar gives 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 addresses current approaches to perform AIRR-compliant AIRR data processing encompassing bulk and single-cell approaches and experimental and bioinformatics quality control. Furthermore, he summarizes 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 discusses 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.
The Friedrich Alexander University in Erlangen (Germany) is looking for PIs working in the AIRR-seq space to take on intern students. The internship should be a short scientific project spanning 8 weeks to 6 months. The application process starts in March and the internship is expected to start in October to December. You can read more information about it at 
