Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization

Summary: We present a tool for control-free copy number alteration (CNA) detection using deep-sequencing data, particularly useful for cancer studies. The tool deals with two frequent problems in the analysis of cancer deep-sequencing data: absence of control sample and possible polyploidy of cancer...

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Detalles Bibliográficos
Autores principales: Boeva, Valentina, Zinovyev, Andrei, Bleakley, Kevin, Vert, Jean-Philippe, Janoueix-Lerosey, Isabelle, Delattre, Olivier, Barillot, Emmanuel
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3018818/
https://www.ncbi.nlm.nih.gov/pubmed/21081509
http://dx.doi.org/10.1093/bioinformatics/btq635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3018818/
https://www.ncbi.nlm.nih.gov/pubmed/21081509
http://dx.doi.org/10.1093/bioinformatics/btq635

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