Unknown

Dataset Information

0

BitPhylogeny: a probabilistic framework for reconstructing intra-tumor phylogenies.


ABSTRACT: Cancer has long been understood as a somatic evolutionary process, but many details of tumor progression remain elusive. Here, we present BitPhylogenyBitPhylogeny, a probabilistic framework to reconstruct intra-tumor evolutionary pathways. Using a full Bayesian approach, we jointly estimate the number and composition of clones in the sample as well as the most likely tree connecting them. We validate our approach in the controlled setting of a simulation study and compare it against several competing methods. In two case studies, we demonstrate how BitPhylogeny BitPhylogeny reconstructs tumor phylogenies from methylation patterns in colon cancer and from single-cell exomes in myeloproliferative neoplasm.

SUBMITTER: Yuan K 

PROVIDER: S-EPMC4359483 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

altmetric image

Publications

BitPhylogeny: a probabilistic framework for reconstructing intra-tumor phylogenies.

Yuan Ke K   Sakoparnig Thomas T   Markowetz Florian F   Beerenwinkel Niko N  

Genome biology 20150213


Cancer has long been understood as a somatic evolutionary process, but many details of tumor progression remain elusive. Here, we present BitPhylogenyBitPhylogeny, a probabilistic framework to reconstruct intra-tumor evolutionary pathways. Using a full Bayesian approach, we jointly estimate the number and composition of clones in the sample as well as the most likely tree connecting them. We validate our approach in the controlled setting of a simulation study and compare it against several comp  ...[more]

Similar Datasets

| S-EPMC5094293 | biostudies-literature
| S-EPMC6929499 | biostudies-literature
| S-EPMC5680185 | biostudies-literature
| S-EPMC8358220 | biostudies-literature
| S-EPMC5441342 | biostudies-other
| S-EPMC7372900 | biostudies-literature
| S-EPMC4603630 | biostudies-literature
| S-EPMC5549612 | biostudies-other