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Visualizing Gene Expression Patterns: A Computational Approach with CAS Software
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| Organization: | University of Thessaly |
| Department: | Department of Economics |
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| Proceedings of Conference: 3rd Hellenic Conference on Natural Resources Environmental Economics |
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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 the differences in gene expression. Our computer codes construct snapshots for gene expression patterns, with the advantage of being self-explanatory contrary to traditional approaches using charts, indices and numerals. They also provide a dynamic interface to facilitate comparisons among genes, indicate gene pairs at a glance and, possibly, help interpret the joint-or interaction-effects that arise. The programming codes along with their application in examples from selected case studies concerning genes involved in embryonic development of common sole (Solea solea) are our methodological contribution in the visualization of gene expression patterns. This work could assist researchers in biosciences with suggestions specific to gene expression patterns.
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Gene expression, common sole, gene expression pattern detection, tabular visualization, Mathematica computer software
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| proceedings_3rd_envecon_conference.303-309.pdf (326 KB) - PDF Document |
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