The MathWorks introduced a new version of the Bioinformatics Toolbox for MATLAB today
Bioinformatics Toolbox 3.0 brings together a unique combination of enhanced import, analysis and visualization capabilities that are particularly useful for biologists and researchers who work with microarray and mass spectrometry data. Users can now perform more precise analysis of various forms of microarray data, including array-based comparative genomic hybridization (CGH), tiling, SNP, and gene expression arrays.
Enhancements to Bioinformatics Toolbox allow users to normalize and clean microarray data, calculate gene expression, and perform circular binary segmentation and false discovery rate estimation. Bioinformatics Toolbox 3.0 includes visualization capabilities that enable users to plot chromosome ideograms with G-banding pattern.
More details at HPCwire.