B cell receptor genes undergo somatic hypermutations and natural selection, leading to a diverse and specific B cell lineage that enhances antibody affinity through a process called affinity maturation.
Phylogenetic tree inference is crucial for reconstructing these B cell lineages; however, existing methods often struggle with balancing accuracy and computational efficiency, particularly when analyzing large datasets.
The newly proposed method, ClonalTree, offers a faster and more efficient way to build B-cell lineage trees by incorporating cellular abundances and outperforms traditional algorithms while maintaining accuracy and reducing computation time significantly.