Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, NC, USA.
Environ Microbiol Rep. 2012 Oct;4(5):556-61. doi: 10.1111/j.1758-2229.2012.00368.x. Epub 2012 Jul 27.
While emerging technologies such as next-generation sequencing are increasingly important tools for the analysis of metagenomic communities, molecular fingerprinting techniques such as automated ribosomal intergenic spacer analysis (ARISA) and terminal restriction fragment length polymorphisms (T-RFLP) remain in use due to their rapid speed and low cost. Peak Studio is a java-based graphical user interface (GUI) designed for the visualization and analysis of fragment analysis (FSA) files generated by the Applied Biosystems capillary electrophoresis instrument. Specifically designed for ARISA and T-RFLP experiments, Peak Studio provides the user the ability to freely adjust the parameters of a peak-calling algorithm and immediately see the implications for downstream clustering by principal component analysis. Peak Studio is fully open-source and, unlike proprietary solutions, can be deployed on any computer running Windows, OS X or Linux. Peak Studio allows data to be saved in multiple formats and can serve as a pre-processing suite that prepares data for statistical analysis in programs such as SAS or R.
虽然新一代测序等新兴技术是分析宏基因组群落的重要工具,但由于其快速、低成本,自动化核糖体基因间间隔区分析(ARISA)和末端限制性片段长度多态性(T-RFLP)等分子指纹图谱技术仍在使用。Peak Studio 是一个基于 Java 的图形用户界面(GUI),专为可视化和分析应用生物系统毛细管电泳仪生成的片段分析(FSA)文件而设计。Peak Studio 专为 ARISA 和 T-RFLP 实验而设计,为用户提供了自由调整峰调用算法参数的能力,并可以立即通过主成分分析查看下游聚类的影响。Peak Studio 是完全开源的,与专有解决方案不同,它可以在运行 Windows、OS X 或 Linux 的任何计算机上部署。Peak Studio 允许以多种格式保存数据,并可作为预处理套件,为 SAS 或 R 等程序中的统计分析准备数据。