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Process flow for information visualization in biological data

Publication Type : Journal Article

Publisher : Advances in Intelligent Systems and Computing

Source : Advances in Intelligent Systems and Computing, Springer Verlag, Volume 438, p.541-549 (2016)

Url :

ISBN : 9789811007668

Keywords : Biological networks, Biology and genetics, Classification (of information), Clustering, Complex information, Complex networks, Data integration, Data visualization, Dimension reduction, DNA sequences, Extraction of information, Flow visualization, gene expression, Information analysis, Information systems, Information visualization, molecular biology, Visualization, Visualization technique

Campus : Kochi

School : School of Arts and Sciences

Department : Computer Science

Year : 2016

Abstract : Every day new discoveries are made in the field of molecular biology and genetics and the sheer volume of data coming out of scientific journals are overwhelming. To collect process and integrate this raw and complex information is probably the most challenging task of current generation of academicians and research scholars. Creating a combined platform by integrating various forms of biological data like DNA sequences, protein structures, or metabolic pathways helps bioinformaticians and computational biologists for efficient data analysis. Current work proposes a structured process flow by integrating different data exploration techniques and visualization techniques that aid in visual extraction of information from biological data. © Springer Science+Business Media Singapore 2016.

Cite this Research Publication : S. Ashok and Dr. M.V. Judy, “Process flow for information visualization in biological data”, Advances in Intelligent Systems and Computing, vol. 438, pp. 541-549, 2016.

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