Change-point Analysis of Paired Allele-specific Copy Number Variation Data

Overview

Journal J Comput Biol

Specialties Biology
Molecular Biology

Date 2012 Jun 16

PMID 22697241

Citations 2

Authors

Yinglei Lai

Affiliations

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Abstract

The recent genome-wide allele-specific copy number variation data enable us to explore two types of genomic information including chromosomal genotype variations as well as DNA copy number variations. For a cancer study, it is common to collect data for paired normal and tumor samples. Then, two types of paired data can be obtained to study a disease subject. However, there is a lack of methods for a simultaneous analysis of these four sequences of data. In this study, we propose a statistical framework based on the change-point analysis approach. The validity and usefulness of our proposed statistical framework are demonstrated through the simulation studies and applications based on an experimental data set.

Citing Articles

RBV: Read balance validator, a tool for prioritising copy number variations in germline conditions.

Whitford W, Lehnert K, Snell R, Jacobsen J Sci Rep. 2019; 9(1):16934.

PMID: 31729446 PMC: 6858463. DOI: 10.1038/s41598-019-53181-7.

A distance-type measure approach to the analysis of copy number variation in DNA sequencing data.

Biswas B, Lai Y BMC Genomics. 2019; 20(Suppl 2):195.

PMID: 30967117 PMC: 6456939. DOI: 10.1186/s12864-019-5491-x.

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