Quality Visualization of Microarray Datasets Using Circos
AbstractQuality control and normalization is considered the most important step in the analysis of microarray data. At present there are various methods available for quality assessments of microarray datasets. However there seems to be no standard visualization routine, which also depicts individual microarray quality. Here we present a convenient method for visualizing the results of standard quality control tests using Circos plots. In these plots various quality measurements are drawn in a circular fashion, thus allowing for visualization of the quality and all outliers of each distinct array within a microarray dataset. The proposed method is intended for use with the Affymetrix Human Genome platform (i.e., GPL 96, GPL570 and GPL571). Circos quality measurement plots are a convenient way for the initial quality estimate of Affymetrix datasets that are stored in publicly available databases. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Koch, M.; Wiese, M. Quality Visualization of Microarray Datasets Using Circos. Microarrays 2012, 1, 84-94.
Koch M, Wiese M. Quality Visualization of Microarray Datasets Using Circos. Microarrays. 2012; 1(2):84-94.Chicago/Turabian Style
Koch, Martin; Wiese, Michael. 2012. "Quality Visualization of Microarray Datasets Using Circos." Microarrays 1, no. 2: 84-94.