Detection of Copy Number Variation Regions Using the DNA-Sequencing Data from Multiple Profiles with Correlated Structure-Reference-Cited by-同舟云学术

Detection of Copy Number Variation Regions Using the DNA-Sequencing Data from Multiple Profiles with Correlated Structure

Published:2018-10 Issue:10 Volume:25 Page:1128-1140
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Chen Jie¹,Deng Shirong²

Affiliation:

1. Division of Biostatistics and Data Science, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, Georgia.

2. School of Mathematics and Statistics, Wuhan University, Wuhan, China.

Publisher

Mary Ann Liebert Inc

Subject

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

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2018.0053

Reference24 articles.

1. Robust detection and identification of sparse segments in ultrahigh dimensional data analysis

2. Allele-specific copy number profiling by next-generation DNA sequencing

3. A Bayesian approach to inference about a change point model with application to DNA copy number experimental data

4. High-resolution mapping of copy-number alterations with massively parallel sequencing

5. STAC: A method for testing the significance of DNA copy number aberrations across multiple array-CGH experiments

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