Quantifying the influence of mutation detection on tumour subclonal reconstruction

Lydia Y. Liu; Vinayak Bhandari; Adriana Salcedo; Shadrielle M. G. Espiritu; Quaid D. Morris; Thomas Kislinger; Paul C. Boutros

doi:10.1038/s41467-020-20055-w

Nature Communications (Dec 2020)

Quantifying the influence of mutation detection on tumour subclonal reconstruction

Lydia Y. Liu,
Vinayak Bhandari,
Adriana Salcedo,
Shadrielle M. G. Espiritu,
Quaid D. Morris,
Thomas Kislinger,
Paul C. Boutros

Affiliations

Lydia Y. Liu: Department of Medical Biophysics, University of Toronto
Vinayak Bhandari: Department of Medical Biophysics, University of Toronto
Adriana Salcedo: Department of Medical Biophysics, University of Toronto
Shadrielle M. G. Espiritu: Ontario Institute for Cancer Research
Quaid D. Morris: Vector Institute for Artificial Intelligence
Thomas Kislinger: Department of Medical Biophysics, University of Toronto
Paul C. Boutros: Department of Medical Biophysics, University of Toronto

DOI: https://doi.org/10.1038/s41467-020-20055-w
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 15

Abstract

Read online

The impact of variant calling algorithms on the analysis of intra-tumour heterogeneity has not been properly quantified. Here the authors measure the variability of 22 pipelines with different variant callers and clustering algorithms for subclonal reconstruction to inform future analyses.

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/

About the journal