ACE: absolute copy number estimation from low-coverage whole-genome sequencing data
Author:
Affiliation:
1. Otolaryngology/Head and Neck Surgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
2. Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
Abstract
Funder
Cancer Center Amsterdam
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
http://academic.oup.com/bioinformatics/article-pdf/35/16/2847/29154649/bty1055.pdf
Reference12 articles.
1. Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors;Adalsteinsson;Nat. Commun,2017
2. The landscape of somatic copy-number alteration across human cancers;Beroukhim;Nature,2010
3. Absolute quantification of somatic DNA alterations in human cancer;Carter;Nat. Biotechnol,2012
4. Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data;Favero;Ann. Oncol,2015
5. Correcting for cancer genome size and tumour cell content enables better estimation of copy number alterations from next-generation sequence data;Gusnanto;Bioinformatics,2012
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