Tong Weida, Harris Stephen, Cao Xiaoxi, Fang Hong, Shi Leming, Sun Hongmei, Fuscoe James, Harris Angela, Hong Huixiao, Xie Qian, Perkins Roger, Casciano Dan
Center for Toxicoinformatics, Division of Biometry and Risk Assessment, NCTR, 3900 NCTR Road, HFT-020, Jefferson, AR 72079, USA.
Mutat Res. 2004 May 18;549(1-2):241-53. doi: 10.1016/j.mrfmmm.2003.12.024.
A robust bioinformatics capability is widely acknowledged as central to realizing the promises of toxicogenomics. Successful application of toxicogenomic approaches, such as DNA microarray, inextricably relies on appropriate data management, the ability to extract knowledge from massive amounts of data and the availability of functional information for data interpretation. At the FDA's National Center for Toxicological Research (NCTR), we are developing a public microarray data management and analysis software, called ArrayTrack. ArrayTrack is Minimum Information About a Microarray Experiment (MIAME) supportive for storing both microarray data and experiment parameters associated with a toxicogenomics study. A quality control mechanism is implemented to assure the fidelity of entered expression data. ArrayTrack also provides a rich collection of functional information about genes, proteins and pathways drawn from various public biological databases for facilitating data interpretation. In addition, several data analysis and visualization tools are available with ArrayTrack, and more tools will be available in the next released version. Importantly, gene expression data, functional information and analysis methods are fully integrated so that the data analysis and interpretation process is simplified and enhanced. ArrayTrack is publicly available online and the prospective user can also request a local installation version by contacting the authors.
强大的生物信息学能力被广泛认为是实现毒理基因组学前景的核心。毒理基因组学方法(如DNA微阵列)的成功应用,紧密依赖于适当的数据管理、从大量数据中提取知识的能力以及用于数据解释的功能信息的可用性。在美国食品药品监督管理局(FDA)的国家毒理学研究中心(NCTR),我们正在开发一款名为ArrayTrack的公共微阵列数据管理和分析软件。ArrayTrack支持微阵列实验最少信息(MIAME),用于存储微阵列数据和与毒理基因组学研究相关的实验参数。实施了质量控制机制以确保输入的表达数据的保真度。ArrayTrack还提供了从各种公共生物数据库中提取的关于基因、蛋白质和通路的丰富功能信息,以促进数据解释。此外,ArrayTrack提供了多个数据分析和可视化工具,在下一版本中还将有更多工具。重要的是,基因表达数据、功能信息和分析方法完全集成在一起,从而简化和增强了数据分析和解释过程。ArrayTrack可在线公开获取,潜在用户也可通过联系作者请求本地安装版本。