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FocalCall: An R Package for the Annotation of Focal Copy Number Aberrations

In order to identify somatic focal copy number aberrations (CNAs) in cancer specimens and to distinguish them from germ-line copy number variations (CNVs), we developed the software package FocalCall. FocalCall enables user-defined size cutoffs to recognize focal aberrations and builds on establishe...

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Autores principales: Krijgsman, Oscar, Benner, Christian, Meijer, Gerrit A, van de Wiel, Mark A, Ylstra, Bauke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251178/
https://www.ncbi.nlm.nih.gov/pubmed/25506197
http://dx.doi.org/10.4137/CIN.S19519
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author Krijgsman, Oscar
Benner, Christian
Meijer, Gerrit A
van de Wiel, Mark A
Ylstra, Bauke
author_facet Krijgsman, Oscar
Benner, Christian
Meijer, Gerrit A
van de Wiel, Mark A
Ylstra, Bauke
author_sort Krijgsman, Oscar
collection PubMed
description In order to identify somatic focal copy number aberrations (CNAs) in cancer specimens and to distinguish them from germ-line copy number variations (CNVs), we developed the software package FocalCall. FocalCall enables user-defined size cutoffs to recognize focal aberrations and builds on established array comparative genomic hybridization segmentation and calling algorithms. To distinguish CNAs from CNVs, the algorithm uses matched patient normal signals as references or, if this is not available, a list with known CNVs in a population. Furthermore, FocalCall differentiates between homozygous and heterozygous deletions as well as between gains and amplifications and is applicable to high-resolution array and sequencing data.
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spelling pubmed-42511782014-12-12 FocalCall: An R Package for the Annotation of Focal Copy Number Aberrations Krijgsman, Oscar Benner, Christian Meijer, Gerrit A van de Wiel, Mark A Ylstra, Bauke Cancer Inform Technical Advance In order to identify somatic focal copy number aberrations (CNAs) in cancer specimens and to distinguish them from germ-line copy number variations (CNVs), we developed the software package FocalCall. FocalCall enables user-defined size cutoffs to recognize focal aberrations and builds on established array comparative genomic hybridization segmentation and calling algorithms. To distinguish CNAs from CNVs, the algorithm uses matched patient normal signals as references or, if this is not available, a list with known CNVs in a population. Furthermore, FocalCall differentiates between homozygous and heterozygous deletions as well as between gains and amplifications and is applicable to high-resolution array and sequencing data. Libertas Academica 2014-12-01 /pmc/articles/PMC4251178/ /pubmed/25506197 http://dx.doi.org/10.4137/CIN.S19519 Text en © 2014 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Technical Advance
Krijgsman, Oscar
Benner, Christian
Meijer, Gerrit A
van de Wiel, Mark A
Ylstra, Bauke
FocalCall: An R Package for the Annotation of Focal Copy Number Aberrations
title FocalCall: An R Package for the Annotation of Focal Copy Number Aberrations
title_full FocalCall: An R Package for the Annotation of Focal Copy Number Aberrations
title_fullStr FocalCall: An R Package for the Annotation of Focal Copy Number Aberrations
title_full_unstemmed FocalCall: An R Package for the Annotation of Focal Copy Number Aberrations
title_short FocalCall: An R Package for the Annotation of Focal Copy Number Aberrations
title_sort focalcall: an r package for the annotation of focal copy number aberrations
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251178/
https://www.ncbi.nlm.nih.gov/pubmed/25506197
http://dx.doi.org/10.4137/CIN.S19519
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