Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig

Yulia Rubanova; Ruian Shi; Caitlin F. Harrigan; Roujia Li; Jeff Wintersinger; Nil Sahin; Amit Deshwar; PCAWG Evolution and Heterogeneity Working Group; Quaid Morris; PCAWG Consortium

doi:10.1038/s41467-020-14352-7

Nature Communications (Feb 2020)

Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig

Yulia Rubanova,
Ruian Shi,
Caitlin F. Harrigan,
Roujia Li,
Jeff Wintersinger,
Nil Sahin,
Amit Deshwar,
PCAWG Evolution and Heterogeneity Working Group,
Quaid Morris,
PCAWG Consortium

Affiliations

Yulia Rubanova: Department of Computer Science, University of Toronto
Ruian Shi: Department of Computer Science, University of Toronto
Caitlin F. Harrigan: Department of Computer Science, University of Toronto
Roujia Li: Donnelly Centre for Cellular and Biomolecular Research, University of Toronto
Jeff Wintersinger: Department of Computer Science, University of Toronto
Nil Sahin: Donnelly Centre for Cellular and Biomolecular Research, University of Toronto
Amit Deshwar: Donnelly Centre for Cellular and Biomolecular Research, University of Toronto
PCAWG Evolution and Heterogeneity Working Group
Quaid Morris: Department of Computer Science, University of Toronto
PCAWG Consortium

DOI: https://doi.org/10.1038/s41467-020-14352-7
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 12

Abstract

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Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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