Bioinformatics Toolbox 2.0
Addressing the needs of computational biologists and bioinformatists, Bioinformatics Toolbox 2.0 for MATLAB helps perform mass-spectrometry data analysis and statistical inference and prediction, as well as view graphs and conduct enhanced genomic and proteomic sequence analysis. Version 2.0 finds applications in drug discovery research, genetic engineering and other genomics and proteomics projects. Most functions are implemented in the open MATLAB language, enabling users to customize the algorithms or develop their own. The mass-spectrometry data analysis feature facilitates pre-processing data, including baseline correction, smoothing, alignment and re-sampling. The program also builds on the classification and statistical inference and prediction tools in the Statistics Toolbox by providing classification functions and tools for identification of discriminating features, and visualization of complex data is enhanced with graph-viewing functions and manipulation tools that display interaction maps, hierarchy plots and pathways. Additional features provide access to specialized visualization tools, ranging from sequence alignments and microarray principle component plots to building and interactively viewing and manipulating phylogenetic trees.