Finding common regions of alteration in copy number data

Oscar M. Rueda; Ramon Diaz-Uriarte; Carlos Caldas

doi:10.1007/978-1-62703-281-0_21

Finding common regions of alteration in copy number data

Oscar M. Rueda
, Ramon Diaz-Uriarte
, Carlos Caldas

Department of Immunology and Cancer Research

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, we review some recent methods designed for detecting recurrent copy number regions, that is, genomic regions that show evidence of being altered in a set of samples. We analyze Affymetrix SNP6 data from 87 Her2-type breast tumors from a recent study using three different methods, showing different definitions and features of common regions: studying heterogeneity in copy number profiles, refining candidates for driver oncogenes, and consolidating broad amplifications.

Original language	English
Title of host publication	Array Comparative Genomic Hybridization
Subtitle of host publication	Protocols and Applications
Publisher	Humana Press Inc.
Pages	339-353
Number of pages	15
ISBN (Print)	9781627032803
DOIs	https://doi.org/10.1007/978-1-62703-281-0_21
State	Published - 2013

Publication series

Name	Methods in Molecular Biology
Volume	973
ISSN (Print)	1064-3745

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

ACGH
Copy number alterations
Copy number variation
Minimal common regions
SNP

Access to Document

10.1007/978-1-62703-281-0_21

Cite this

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Finding common regions of alteration in copy number data

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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