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A computer algebra system approach in gene expression analysis
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| Organization: | University of Thessaly |
| Department: | Department of Economics |
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| Progress in Industrial Ecology An International Journal |
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Gene expression as a biological response to environmental stimulus and as a physiological process of development, is crucial for the study of life. Visualization is an important means to identify complex gene networks. The primary purpose of this study is to provide immediate connection to analytics of biological functions and visualization. We introduce a visual framework in the environment of a main computer algebra system (CAS), Mathematica, to picture variations and evolution schemes in gene expression. Our computational approach constructs snapshots for gene expression profiles, with the advantage of being self-evident, concise and clear. A variety of colors is employed, beyond the conventional heat map colors. We provide dynamic options to facilitate comparisons among treatments, several color choices to perform reference gene selection tests and, reveal the variation of gene expression through time and/or among treatments or genes. The performance of the programming techniques in selected case studies concerning genes involved in embryonic development of common sole (Solea solea), is presented. This work could assist researchers in biosciences with suggestions specific to gene expression mapping.
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Gene expression profiles, common sole, visual analytics, Mathematica computer software.
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