immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
B-cell and T-cell Adaptive Immune Receptor Repertoire (AIRR) sequencing analysis pipeline using the Immcantation framework
Comparison of Adaptive Immune Receptor Repertoires
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A tool for simulation of antigen-experienced adaptive immune receptor repertoire (AIRR) datasets for benchmarking of machine learning (ML) methods.
A tool that allows comparison of real and simulated AIRR datasets by providing different statistical indicators and dataset visualizations in one report.
Data source tool for connecting a Galaxy instance to the immunological data bank iReceptor Plus Gateway.
LIgO is a tool for simulation of adaptive immune receptors and repertoires.
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