CAFE: an R package for the detection of gross chromosomal abnormalities from gene expression microarray data

Summary: The current methods available to detect chromosomal abnormalities from DNA microarray expression data are cumbersome and inflexible. CAFE has been developed to alleviate these issues. It is implemented as an R package that analyzes Affymetrix *.CEL files and comes with flexible plotting fun...

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Detalles Bibliográficos
Autores principales: Bollen, Sander, Leddin, Mathias, Andrade-Navarro, Miguel A., Mah, Nancy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016701/
https://www.ncbi.nlm.nih.gov/pubmed/24451624
http://dx.doi.org/10.1093/bioinformatics/btu028
Descripción
Sumario:Summary: The current methods available to detect chromosomal abnormalities from DNA microarray expression data are cumbersome and inflexible. CAFE has been developed to alleviate these issues. It is implemented as an R package that analyzes Affymetrix *.CEL files and comes with flexible plotting functions, easing visualization of chromosomal abnormalities. Availability and implementation: CAFE is available from https://bitbucket.org/cob87icW6z/cafe/ as both source and compiled packages for Linux and Windows. It is released under the GPL version 3 license. CAFE will also be freely available from Bioconductor. Contact: sander.h.bollen@gmail.com or nancy.mah@mdc-berlin.de Supplementary information: Supplementary data are available at Bioinformatics online.

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