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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Clustering based approach for population level identification of condition-associated T-cell receptor β-chain CDR3 sequences

Fig. 3

Sub-repertoire detection across many samples. CDR3 clustering, and sub-repertoire detection using both hierarchical clustering (hc) and k-means (km) clustering of the CDR3 cluster centroids was performed for all 8 CD PBMC samples. a Shows proportions of sub-repertoires containing CDR3 cluster centroids from only n samples, dots are the estimate from each of 10 analyses from subsampled repertoires with sequencing depths of 1 to 10 thousand unique nucleotide CDR3s per sample. b The cumulative proportion of sub-repertoires containing representative clusters from n samples or more is shown; the cumulative at each n is computed as the mean proportion of n represented samples from the 10 resample analyses

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