AAIRR16 Analysis of Adaptive Immune Receptor Repertoires using high throughput sequencing data (NGS)
IMPORTANT DATES for this Course
Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants.
This course will cover the analysis of B and T cell repertoires (adaptive immune receptor repertoires, or AIRR) from high-throughput
sequencing data using bioinformatics workflows. Topics include germline allele assignment, identification of clones, and
visualisation/analysis of clonal frequencies. The course will also cover emerging standards (VDJML, Change-O) in the analysis and
reporting of Adaptive-immune Receptor Repertoire (AIRR) data. In addition to an introduction to software used, such as IgBLAST, pRESTO,
Change-O, etc., the course will also provide an introduction to the use of Jupyter notebooks for conducting exploratory analyses and
the Common Workflow Language to automate analyses.
To get a flavour of the techniques and software that will be used in the course.
Discussion site: B-T.CR
The course was designed for experimentalist and students who want to explore adaptive immune repertoires
using NGS data.
Individuals that are working - or looking forward to work - in the area of T cell or B cell receptor analysis will benefit
from attending this training course.
Basic knowledge of the process of T and B cell receptor generation is essential.
Knowledge and data handling of file formats used in next generation sequencing analysis (FASTQ, SAM/BAM) highly desirable.
Familiarity with use of the Unix/Linux command line.
Basic knowledge of Python desirable, but not essential.