A multi-objective based clustering for inferring BCR clonal lineages from high-throughput B cell repertoire data
Fig 8
Performance comparison on artificial monoclonal repertoires.
We generated three artificial monoclonal repertoires (AMR1, AMR2, and AMR3) by sampling sequences from a pure B cell lineage (10%) and a polyclonal background (90%). Each benchmark contained 10000 sequences. Accurate tools might group sequences from the pure B cell lineage and separate those from the polyclonal background. We measured the performance of BCR lineage grouping methods by computing the number of splits (SC) and false positives (FP) of the most abundant group. To better visualize and compare clustering results, we show alluvial diagrams for AMR1 (a), AMR2 (b), and AMR3 (c), where blue blocks represent the pure B cell lineage and pink or orange inferred groups. Pink blocks contain only sequences belonging to the pure B cell lineage (true positives), while the orange blocks contain sequences from the polyclonal background (false positives). SONAR and BRILIA did not produce results for the AMR3 benchmarks since they do not deal with non-productive sequences.