Considine Michael, Parker Hilary, Wei Yingying, Xia Xaio, Cope Leslie, Ochs Michael, Fertig Elana
Department of Oncology Biostatistics & Bioinformatics, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
F1000Res. 2015 Jan 28;4:28. doi: 10.12688/f1000research.6030.2. eCollection 2015.
Automated Genomics Analysis (AGA) is an interactive program to analyze high-throughput genomic data sets on a variety of platforms. An easy to use, point and click, guided pipeline is implemented to combine, define, and compare datasets, and customize their outputs. In contrast to other automated programs, AGA enables flexible selection of sample groups for comparison from complex sample annotations. Batch correction techniques are also included to further enable the combination of datasets from diverse studies in this comparison. AGA also allows users to save plots, tables and data, and log files containing key portions of the R script run for reproducible analyses. The link between the interface and R supports collaborative research, enabling advanced R users to extend preliminary analyses generated from bioinformatics novices.
自动化基因组分析（AGA）是一个交互式程序，用于分析各种平台上的高通量基因组数据集。它实现了一个易于使用的、点击式的引导流程，用于组合、定义和比较数据集，并定制其输出。与其他自动化程序不同，AGA能够从复杂的样本注释中灵活选择用于比较的样本组。还包括批次校正技术，以进一步实现本次比较中来自不同研究的数据集的组合。AGA还允许用户保存图表、表格和数据，以及包含为可重复分析而运行的R脚本关键部分的日志文件。界面与R之间的链接支持协作研究，使高级R用户能够扩展由生物信息学新手生成的初步分析。
