Clonality Inference from Single Tumor Samples Using Low-Coverage Sequence Data-Reference-Cited by-同舟云学术

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Clonality Inference from Single Tumor Samples Using Low-Coverage Sequence Data

Published:2017-06 Issue:6 Volume:24 Page:515-523
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Donmez Nilgun¹²,Malikic Salem¹²,Wyatt Alexander W.²³,Gleave Martin E.²,Collins Colin C.²³,Sahinalp S. Cenk¹²⁴

Affiliation:

1. School of Computing Science, Simon Fraser University, Burnaby, Canada.

2. Vancouver Prostate Centre, Vancouver, Canada.

3. Department of Urologic Sciences, University of British Columbia, Vancouver, Canada.

4. School of Informatics and Computing, Indiana University, Bloomington, Indiana.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2016.0148

Reference21 articles.

1. Calling thelp_solveLinear Program Software fromR,S-PLUSandExcel

2. PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors

3. Reconstruction of clonal trees and tumor composition from multi-sample sequencing data

4. Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

5. TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data

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1. Reconstructing Phylogenetic Relationship in Bladder Cancer: A Methodological Overview;Urothelial Carcinoma;2023

2. Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes;Cell;2021-04

3. Methodological Advancements for Investigating Intra-tumoral Heterogeneity in Breast Cancer at the Bench and Bedside;Journal of Mammary Gland Biology and Neoplasia;2020-12

4. Tumor Phylogeny Topology Inference via Deep Learning;iScience;2020-11

5. A statistical approach for tracking clonal dynamics in cancer using longitudinal next-generation sequencing data;Bioinformatics;2020-07-28

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