Browse > Article

RAN-aCGH: R GUI Tools for Analysis and Visualization of an Array-CGH Experiment  

Kim, Sang-Cheol (Department of Applied Statistics, Yonsei University)
Kim, Byung-Soo (Department of Applied Statistics, Yonsei University)
Abstract
RAN-aCGH is an R GUI tool for the analysis and visualization of array comparative genomic hybridization (array-CGH) experiments. The tool consists of data-loading, preprocessing for missing data, several methods for statistical identification of DNA copy number aberration, and visualization of the copy number change. RAN-aCGH requires a single input format, provides various visualizations, and allows the addition of a new statistical method, all in a user-friendly graphic user interface (GUI).
Keywords
array-CGH; R GUI; copy number aberration;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Hsu, L., Self, S.G., Grove, D., Randolph, T., Wang, K., Delrow, J.J., Lao, L., and Porter, P. (2005). Denoising array-based comparative genomic hybridization data using wavelets. Biostatistics 6, 211-226   DOI   ScienceOn
2 Huang, T., Wu, B., Lizardi, P., and Zhao, H. (2005). Detection of DNA copy number alterations using pealized least squares regression. Bioinformatics 21, 3811-3817   DOI   ScienceOn
3 Olshen, A.B., Venkatraman, E.S., Lucito, R, and Wigler, M. (2004). Circular binary segmentation for the analysis of array-based DNA copy number data. Biostatistics 5, 557-572   DOI   ScienceOn
4 Picard, F., Robin, S., Livielle, M., Vaisse, C., and Daudin, J.J. (2005). A statistical approach for array CGH data analysis. BMC Bioinformatics 6,27   DOI   ScienceOn
5 Pinkel, D., Segraves, R, Sudar, D., Clark, S., Poole, I., Kowbel, D., Collins, C., Kuo, W.L., Chen, C., Zhai, Y, Dairkee, S.H., Ljung, B., Gray, J.W., and Albertson, D.G. (1998). High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays. Nature Genetics 20,207-211   DOI   ScienceOn
6 Venkatraman, E.S., and Olshen, A.B. (2007). A faster circular binary segmentation algorithm for the analysis of array CGH data. Bioinformatics 23, 657-663   DOI   ScienceOn
7 Broet, P., and Richardson, S. (2006). Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model. Bioinformatics 22, 911-918   DOI   ScienceOn
8 Hupe, P., Stransky, N., Thiery, J.P., Radvanyi, F., and Barillot, E. (2004). Analysis of array CGH data: from signal ratio to gain and loss of DNA regions. Bioinformatics 20, 3413-3422   DOI   ScienceOn
9 Pollack, J.R., Sorlie, T., Perou, C.M., Rees, C.A, Jeffrey, S.S., Lonning, P.E., Tibshirani, R, Botstein, D., Borresen-Dale, A.L., and Brown, P.O. (2002). Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors. Proceedings of the National Academyof Sciences 99, 12963-12968
10 Jong, K., Marchiori, E., Meijer, G., Vaart, A, and Ylstra, B. (2004). Breakpoint identification and smoothing of array comparative genomic hybridization data. Bioinformatics 20, 3636-3637   DOI   ScienceOn
11 Kim, B.S., Kim, I., Lee, S., Kim, S., Rha, S.Y., and Chung, H.C. (2005). Statistical methods of translating microarray data into clinically relevant diagnostic information in colorectal cancer. Bioinformatics 21,517-528   DOI   ScienceOn
12 Fridlyand, J., Snijder, A.M., Pinkel, D., Albertson, D.G., and Jain, AN (2004). Hidden Markov models approach to the analysis of array CGH data. Journal of Multivariate Analysis 90,132-153   DOI   ScienceOn
13 Wang, P., Kim, Y, Pollack, J., Narasimhan, B., and Tibshirani, R. (2005). A method for calling gains and losses in array CGH data. Biostatistics 6, 45-58   DOI   ScienceOn
14 Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R, Botstein, D., and Altman, R.B. (2001). Missing value estimation methods for DNA microarrays. Bioinformatics 17, 520-525   DOI   ScienceOn