scholarly journals Mat-aCGH: a Matlab toolbox for simultaneous multisample aCGH data analysis and visualization

2015 ◽  
Author(s):  
Majid Mohammadi ◽  
Hossein Sharifi Noghabi

Mat-aCGH is an application toolbox for analysis and visualization of microarray-comparative genomic hybridization (array-CGH or aCGH) data which is based on Matlab. Full process of aCGH analysis, from denoising of the raw data to the visualization of the desired results, can be obtained via Mat-aCGH straight-forwardly. The main advantage of this toolbox is that it is collection of recent well-known statistical and information theoretic methods and algorithms for analyzing aCGH data. More importantly, the proposed toolbox is developed for multisample analysis which is one of the current challenges in this area. Mat-aCGH is convenient to apply for any format of data, robust against diverse noise and provides the users with valuable information in the form of diagrams and metrics. Therefore, it eliminates the needs of another software or package for multisample aCGH analysis.

2006 ◽  
Vol 2 ◽  
pp. 117693510600200 ◽  
Author(s):  
Raj Chari ◽  
William W. Lockwood ◽  
Wan L. Lam

Array comparative genomic hybridization (array CGH) is a technique for assaying the copy number status of cancer genomes. The widespread use of this technology has lead to a rapid accumulation of high throughput data, which in turn has prompted the development of computational strategies for the analysis of array CGH data. Here we explain the principles behind array image processing, data visualization and genomic profile analysis, review currently available software packages, and raise considerations for future software development.


Sign in / Sign up

Export Citation Format

Share Document