MathWorks has released the Bioinformatics Toolbox 2.0 for Matlab.
Scientists and researchers can now perform mass-spectrometry data analysis, perform statistical inference and prediction, view graphs and conduct enhanced genomic and proteomic sequence analysis.
With this latest release, MathWorks brings greater power and versatility to the biotechnology and pharmaceutical industries, providing more advanced technology capabilities for drug discovery research, genetic engineering and other genomics and proteomics projects.
The toolbox offers computational biologists and other research scientists an open and extensible environment. Most functions are implemented in the open Matlab language, enabling users to customise the algorithms or develop their own.
The mass-spectrometry data analysis feature is specifically designed for pre-processing data, including baseline correction, smoothing, alignment and re-sampling.
As a result, users can now perform customised analysis at a faster rate.
The toolbox also builds on the classification and statistical inference and prediction tools by providing several new classification functions and tools for identification of discriminating features and visualisation of complex data is enhanced with new graph-viewing functions and manipulation tools that display interaction maps, hierarchy plots and pathways.
Additional features provide access to specialised visualisation tools, ranging from sequence alignments and microarray principle component plots to building and interactively viewing and manipulating phylogenetic trees.
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