Work

CGHcall: calling aberrations for array CGH tumor profiles

Year: 2007

Type: article

Abstract: UNLABELLED: CGHcall achieves high calling accuracy for array CGH data by effective use of breakpoint information from segmentation and by inclusion of several biological concepts that are ignored by existing algorithms. The algorithm is validated for simulated and verified real array CGH data. By incorporating more than three classes, CGHcall improves detection of single copy gains and amplifications. Moreover, it allows effective inclusion of chromosome arm information. AVAILABILITY: An R-package (GUI), a manual and an example data set are available at http://www.few.vu.nl/~mavdwiel/CGHcall.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btm030

Authors: Mark A. van de Wiel, Kyung In Kim, Sjoerd J. Vosse, Wessel N. van Wieringen, Saskia M. Wilting, Bauke Ylstra

Institutions: Eindhoven University of Technology, Vrije Universiteit Amsterdam, Amsterdam UMC Location Vrije Universiteit Amsterdam

Language: English

Topic: Genomic variations and chromosomal abnormalities

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funders: Harvard University, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Centre for Medical Systems Biology

OpenAlex ID: W2096020932