In recent years, the well-known Infinite Sites Assumption (ISA) has been a fundamental feature of computational methods devised for reconstructing tumor phylogenies and inferring cancer progressions. However, recent studies leveraging Single-Cell Sequencing (SCS) techniques have shown evidence of the widespread recurrence and, especially, loss of mutations in several tumor samples. While there exist established computational methods that infer phylogenies with mutation losses, there remain some advancements to be made.
Ciccolella, S., Ricketts, C., Soto Gomez, M., Patterson, M., Silverbush, D., Bonizzoni, P., et al. (2021). Inferring Cancer Progression from Single-Cell Sequencing while Allowing Mutation Losses. BIOINFORMATICS, 37(3 (1 February 2021)), 326-333 [10.1093/bioinformatics/btaa722].
Inferring Cancer Progression from Single-Cell Sequencing while Allowing Mutation Losses
Ciccolella, Simone;Soto Gomez, Mauricio;Patterson, Murray;Bonizzoni, Paola;Della Vedova, Gianluca
2021
Abstract
In recent years, the well-known Infinite Sites Assumption (ISA) has been a fundamental feature of computational methods devised for reconstructing tumor phylogenies and inferring cancer progressions. However, recent studies leveraging Single-Cell Sequencing (SCS) techniques have shown evidence of the widespread recurrence and, especially, loss of mutations in several tumor samples. While there exist established computational methods that infer phylogenies with mutation losses, there remain some advancements to be made.File | Dimensione | Formato | |
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