Simplicity: Web-Based Visualization and Analysis of High-Throughput Cancer Cell Line Screens.

Alexander L Ling, Weijie Zhang, Adam Lee, Yunong Xia, Mei-Chi Su, Robert F Gruener, Sampreeti Jena, Yingbo Huang, Siddhika Pareek, Yuting Shan, R Stephanie Huang
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Abstract

High-throughput drug screens are a powerful tool for cancer drug development. However, the results of such screens are often made available only as raw data, which is intractable for researchers without informatics skills, or as highly processed summary statistics, which can lack essential information for translating screening results into clinically meaningful discoveries. To improve the usability of these datasets, we developed Simplicity, a robust and user-friendly web interface for visualizing, exploring, and summarizing raw and processed data from high- throughput drug screens. Importantly, Simplicity allows for easy recalculation of summary statistics at user-defined drug concentrations. This allows Simplicity's outputs to be used with methods that rely on statistics being calculated at clinically relevant doses. Simplicity can be freely accessed at https://oncotherapyinformatics.org/simplicity/.

简单:基于网络的高通量癌症细胞系筛选可视化和分析。
高通量药物筛选是癌症药物开发的有力工具。然而,这些筛选结果通常只能以原始数据的形式提供,这对于没有信息学技能的研究人员来说是难以解决的,或者只能以高度处理过的统计摘要的形式提供,这可能缺乏将筛选结果转化为有临床意义的发现的基本信息。为了提高这些数据集的可用性,我们开发了 Simplicity,这是一个功能强大、用户友好的网络界面,用于可视化、探索和总结高通量药物筛选的原始数据和处理数据。重要的是,Simplicity 允许在用户定义的药物浓度下轻松地重新计算汇总统计数据。这样,Simplicity 的输出结果就可以与依赖临床相关剂量计算统计数据的方法一起使用。您可以通过 https://oncotherapyinformatics.org/simplicity/ 免费访问 Simplicity。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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