Biotechnology and Bioengineering Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Proteomics. 2011 Mar;11(6):1058-63. doi: 10.1002/pmic.201000556. Epub 2011 Feb 7.
A major challenge in the field of high-throughput proteomics is the conversion of the large volume of experimental data that is generated into biological knowledge. Typically, proteomics experiments involve the combination and comparison of multiple data sets and the analysis and annotation of these combined results. Although there are some commercial applications that provide some of these functions, there is a need for a free, open source, multifunction tool for advanced proteomics data analysis. We have developed the Visualize program that provides users with the abilities to visualize, analyze, and annotate proteomics data; combine data from multiple runs, and quantitate differences between individual runs and combined data sets. Visualize is licensed under GNU GPL and can be downloaded from http://proteomics.mcw.edu/visualize. It is available as compiled client-based executable files for both Windows and Mac OS X platforms as well as PERL source code.
高通量蛋白质组学领域的一个主要挑战是将产生的大量实验数据转化为生物知识。通常,蛋白质组学实验涉及多个数据集的组合和比较,以及对这些组合结果的分析和注释。尽管有一些商业应用提供了其中的一些功能,但仍需要一个免费的、开源的、多功能工具来进行高级蛋白质组学数据分析。我们开发了 Visualize 程序,为用户提供了可视化、分析和注释蛋白质组学数据的功能;组合来自多个运行的数据,并定量比较单个运行和组合数据集之间的差异。Visualize 遵循 GNU GPL 许可,可以从 http://proteomics.mcw.edu/visualize 下载。它提供了适用于 Windows 和 Mac OS X 平台的编译后的基于客户端的可执行文件,以及 PERL 源代码。