IMDA
Researchers
Susanne Schaller MMSc.
Dr. Julia Vetter MSc.
Prof.(FH) PD DI Dr. Stephan Winkler
Duration
Research Areas
Partners
University of Applied Sciences Upper Austria, Hagenberg Campus, RG Bioinformatics
Medical University of Vienna, Department of Medicine III, Division of Nephrology and Dialysis
The ImmunoDataAnalyzer (IMDA) provides various methods for analyzing immunological next generation sequencing (NGS) data, focused on immunoglobulins (IG) and T cell receptors (TCR). IMDA is especially built for first interpretations and quality control of TCR or IG repertoire data analysis. Several aspects based on CDR3 and V(D)J genes are calculated, evaluated, and visualized.
IMDA constructs TCR and IG repertoire data from raw NGS reads and facilitates descriptive data analysis and comparison of immune repertoires. The IMDA workflow focuses on quality control and ease of use for non-computer scientists. The provided output directly facilitates the interpretation of input data and includes information about clonality, diversity, clonotype overlap as well as similarity, and V(D)J gene segment usage. IMDA further supports the detection of sample swaps and cross-sample contamination that potentially occurred during sample preparation. In summary, IMDA reduces the effort of a usually required for immune repertoire data analysis by providing an automated pipeline for processing raw NGS data into immune repertoires and subsequent evaluation.