Institute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Department of Computer Science, Helsinki Institute for Information Technology (HIIT), Aalto University, FI-02150 Espoo, Finland.
Bioinformatics. 2020 Jun 1;36(11):3602-3604. doi: 10.1093/bioinformatics/btaa138.
High-throughput screening (HTS) enables systematic testing of thousands of chemical compounds for potential use as investigational and therapeutic agents. HTS experiments are often conducted in multi-well plates that inherently bear technical and experimental sources of error. Thus, HTS data processing requires the use of robust quality control procedures before analysis and interpretation. Here, we have implemented an open-source analysis application, Breeze, an integrated quality control and data analysis application for HTS data. Furthermore, Breeze enables a reliable way to identify individual drug sensitivity and resistance patterns in cell lines or patient-derived samples for functional precision medicine applications. The Breeze application provides a complete solution for data quality assessment, dose-response curve fitting and quantification of the drug responses along with interactive visualization of the results.
The Breeze application with video tutorial and technical documentation is accessible at https://breeze.fimm.fi; the R source code is publicly available at https://github.com/potdarswapnil/Breeze under GNU General Public License v3.0.
Supplementary data are available at Bioinformatics online.
高通量筛选 (HTS) 可系统地测试数千种化合物，以寻找有潜力作为研究和治疗剂的化合物。HTS 实验通常在微孔板中进行，微孔板本身存在技术和实验误差源。因此，在分析和解释之前，HTS 数据处理需要使用稳健的质量控制程序。在这里，我们实现了一个开源分析应用程序 Breeze，这是一个用于 HTS 数据的集成质量控制和数据分析应用程序。此外，Breeze 还能够为功能精准医学应用提供一种可靠的方法，用于识别细胞系或患者来源样本中的个体药物敏感性和耐药性模式。Breeze 应用程序为数据质量评估、剂量反应曲线拟合以及药物反应的定量提供了完整的解决方案，并提供了结果的交互式可视化。
带有视频教程和技术文档的 Breeze 应用程序可在 https://breeze.fimm.fi 上访问；R 源代码可在 https://github.com/potdarswapnil/Breeze 上公开获得，遵循 GNU 通用公共许可证 v3.0。
补充数据可在 Bioinformatics 在线获得。
