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BMDExpress Data Viewer - a visualization tool to analyze BMDExpress datasets

机译:BMDExpress数据查看器-分析BMDExpress数据集的可视化工具

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Regulatory agencies increasingly apply benchmark dose (BMD) modeling to determine points of departure for risk assessment. BMDExpress applies BMD modeling to transcriptomic datasets to identify transcriptional BMDs. However, graphing and analytical capabilities within BMDExpress are limited, and the analysis of output files is challenging. We developed a web-based application, BMDExpress Data Viewer (), for visualizing and graphing BMDExpress output files. The application consists of Summary Visualization and Dataset Exploratory tools. Through analysis of transcriptomic datasets of the toxicants furan and 4,4-methylenebis(N,N-dimethyl)benzenamine, we demonstrate that the Summary Visualization Tools can be used to examine distributions of gene and pathway BMD values, and to derive a potential point of departure value based on summary statistics. By applying filters on enrichment P-values and minimum number of significant genes, the Functional Enrichment Analysis tool enables the user to select biological processes or pathways that are selectively perturbed by chemical exposure and identify the related BMD. The Multiple Dataset Comparison tool enables comparison of gene and pathway BMD values across multiple experiments (e.g., across timepoints or tissues). The BMDL-BMD Range Plotter tool facilitates the observation of BMD trends across biological processes or pathways. Through our case studies, we demonstrate that BMDExpress Data Viewer is a useful tool to visualize, explore and analyze BMDExpress output files. Visualizing the data in this manner enables rapid assessment of data quality, model fit, doses of peak activity, most sensitive pathway perturbations and other metrics that will be useful in applying toxicogenomics in risk assessment. (c) 2015 Her Majesty the Queen in Right of Canada. Journal of Applied Toxicology published by John Wiley & Sons, Ltd.
机译:监管机构越来越多地使用基准剂量(BMD)模型来确定风险评估的出发点。 BMDExpress将BMD建模应用于转录组数据集,以识别转录BMD。但是,BMDExpress中的图形和分析功能有限,并且输出文件的分析具有挑战性。我们开发了一个基于Web的应用程序BMDExpress Data Viewer(),用于可视化和图形化BMDExpress输出文件。该应用程序由摘要可视化和数据集探索工具组成。通过分析呋喃和4,4-亚甲基双(N,N-二甲基)苯甲胺有毒物质的转录组数据集,我们证明摘要可视化工具可用于检查基因和途径BMD值的分布,并得出潜在的点基于汇总统计信息的离港价值。通过对富集P值和重要基因的最小数量应用过滤器,功能富集分析工具使用户能够选择受到化学暴露选择性干扰的生物过程或途径,并识别相关的BMD。多重数据集比较工具可跨多个实验(例如跨时间点或组织)比较基因和途径的BMD值。 BMDL-BMD范围绘图仪工具有助于观察跨生物过程或途径的BMD趋势。通过案例研究,我们证明BMDExpress数据查看器是可视化,探索和分析BMDExpress输出文件的有用工具。以这种方式可视化数据可以快速评估数据质量,模型拟合,峰活动剂量,最敏感的路径扰动以及其他将毒理基因组学应用于风险评估的指标。 (c)2015年加拿大女王Queen下。 John Wiley&Sons,Ltd.出版的《应用毒理学杂志》。

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