Computational Biology and Data Mining Group, Max Delbruck Center for Molecular Medicine, 13125 Berlin, Germany, Graduate School of Life Sciences, Utrecht University, Universiteitsweg 98, 3584 CG, Utrecht, the Netherlands and Roche Diagnostics GmbH, 82377 Penzberg, Germany.
Bioinformatics. 2014 May 15;30(10):1484-5. doi: 10.1093/bioinformatics/btu028. Epub 2014 Jan 21.
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.
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.
sander.h.bollen@gmail.com or nancy.mah@mdc-berlin.de
Supplementary data are available at Bioinformatics online.
目前,从 DNA 微阵列表达数据中检测染色体异常的方法既繁琐又不灵活。CAFE 的开发就是为了解决这些问题。它是一个 R 包,可以分析 Affymetrix 的 *.CEL 文件,并具有灵活的绘图功能,便于可视化染色体异常。
CAFE 可从 https://bitbucket.org/cob87icW6z/cafe/ 获得,有适用于 Linux 和 Windows 的源和编译包。它是根据 GPL 版本 3 许可证发布的。CAFE 也将可从 Bioconductor 免费获得。
sander.h.bollen@gmail.com 或 nancy.mah@mdc-berlin.de
补充数据可在 Bioinformatics 在线获得。