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

Libi Hertzberg, Assif Yitzhaky, M. Pasmanik-Chor
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引用次数: 1

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.
GEView(基因表达视图)工具,为非程序员生物学家提供直观和高度可访问的表达数据可视化
这篇文章描述了过去十年是如何以产生大量不同类型的生物数据为特征的。此后,大量生物信息学工具相继问世。然而,这些工具中的许多都是商业化的,或者需要计算技能。此外,并不是所有的工具都提供直观和高度可访问的结果可视化。作者开发了GEView(基因表达视图),这是一个免费的、用户友好的工具,包含了几种现有的算法和统计方法,用于分析高通量基因、microRNA或蛋白质的表达数据。它可以通过一个单一的直观的图形用户界面进行基本的分析,如质量控制,离群值检测,批量校正和差分表达式分析。GEView的独特之处在于它的简单性和它提供的高度可访问的可视化。再加上它的基本和直观的功能,它允许没有计算技能的生物医学科学家独立分析和可视化在他们自己的实验室中产生的高通量数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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