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SubClonal Hierarchy Inference from Somatic Mutations: Automatic Reconstruction of Cancer Evolutionar...

SubClonal Hierarchy Inference from Somatic Mutations: Automatic Reconstruction of Cancer Evolutionar...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1733462469

SubClonal Hierarchy Inference from Somatic Mutations: Automatic Reconstruction of Cancer Evolutionary Trees from Multi-region Next Generation Sequencing

About this item

Full title

SubClonal Hierarchy Inference from Somatic Mutations: Automatic Reconstruction of Cancer Evolutionary Trees from Multi-region Next Generation Sequencing

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2015-10, Vol.11 (10), p.e1004416-e1004416

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Recent improvements in next-generation sequencing of tumor samples and the ability to identify somatic mutations at low allelic fractions have opened the way for new approaches to model the evolution of individual cancers. The power and utility of these models is increased when tumor samples from multiple sites are sequenced. Temporal ordering of t...

Alternative Titles

Full title

SubClonal Hierarchy Inference from Somatic Mutations: Automatic Reconstruction of Cancer Evolutionary Trees from Multi-region Next Generation Sequencing

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1733462469

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1733462469

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1004416

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