Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data

Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data

Abstract Background A large number of algorithms is being developed to reconstruct evolutionary models of individual tumours from genome sequencing data. Most methods can analyze multiple samples collected either through bulk multi-region sequencing experiments or the sequencing of individual cancer...

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Bibliographic Details
Main Authors: Daniele Ramazzotti, Alex Graudenzi, Luca De Sano, Marco Antoniotti, Giulio Caravagna
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Bioinformatics
Subjects:
Single-tumour evolution
Single-cell sequencing
Multi-region sequencing
Mutational graphs
Cancer evolution
Tumour phylogeny
Online Access:http://link.springer.com/article/10.1186/s12859-019-2795-4

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http://link.springer.com/article/10.1186/s12859-019-2795-4

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