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Visualizing Gene Expression Patterns: A Computational Approach with CAS Software

Kyriaki D. Tsilika
Organization: University of Thessaly
Department: Department of Economics
Menelaos Kavouras
Athanasios Exadactylos
Journal / Anthology

Proceedings of Conference: 3rd Hellenic Conference on Natural Resources Environmental Economics
Year: 2015
Page range: 303-309

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.

*Applied Mathematics > Visualization
*Science > Biology

Gene expression, common sole, gene expression pattern detection, tabular visualization, Mathematica computer software

proceedings_3rd_envecon_conference.303-309.pdf (326 KB) - PDF Document