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GEView (Gene Expression View) Tool for Intuitive and High Accessible Visualization of Expression Data for Non-Programmer Biologists

GEView (Gene Expression View) Tool for Intuitive and High Accessible Visualization of Expression Data for Non-Programmer Biologists

Libi Hertzberg, Assif Yitzhaky, Metsada Pasmanik-Chor
Copyright: © 2020 |Pages: 13
ISBN13: 9781799812043|ISBN10: 1799812049|EISBN13: 9781799812050
DOI: 10.4018/978-1-7998-1204-3.ch032
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MLA

Hertzberg, Libi, et al. "GEView (Gene Expression View) Tool for Intuitive and High Accessible Visualization of Expression Data for Non-Programmer Biologists." Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 580-592. https://doi.org/10.4018/978-1-7998-1204-3.ch032

APA

Hertzberg, L., Yitzhaky, A., & Pasmanik-Chor, M. (2020). GEView (Gene Expression View) Tool for Intuitive and High Accessible Visualization of Expression Data for Non-Programmer Biologists. In I. Management Association (Ed.), Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications (pp. 580-592). IGI Global. https://doi.org/10.4018/978-1-7998-1204-3.ch032

Chicago

Hertzberg, Libi, Assif Yitzhaky, and Metsada Pasmanik-Chor. "GEView (Gene Expression View) Tool for Intuitive and High Accessible Visualization of Expression Data for Non-Programmer Biologists." In Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 580-592. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1204-3.ch032

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Abstract

This article describes how the last decade has been characterized by the production of huge amounts of different types of biological data. Following that, a flood of bioinformatics tools have been published. However, many of these tools are commercial, or require computational skills. In addition, not all tools provide intuitive and highly accessible visualization of the results. The authors have developed GEView (Gene Expression View), which is a free, user-friendly tool harboring several existing algorithms and statistical methods for the analysis of high-throughput gene, microRNA or protein expression data. It can be used to perform basic analysis such as quality control, outlier detection, batch correction and differential expression analysis, through a single intuitive graphical user interface. GEView is unique in its simplicity and highly accessible visualization it provides. Together with its basic and intuitive functionality it allows Bio-Medical scientists with no computational skills to independently analyze and visualize high-throughput data produced in their own labs.

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