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简易性:基于网络的高通量癌细胞系筛选可视化与分析

Simplicity: web-based visualization and analysis of high-throughput cancer cell line screens.

作者信息

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

机构信息

Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Hale Building for Transformative Medicine, 4th and 8th floor, Brigham and Women's Hospital; 60 Fenwood Road, Boston, MA 02116.

Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN 55455, USA.

出版信息

bioRxiv. 2023 Sep 12:2023.09.08.556619. doi: 10.1101/2023.09.08.556619.

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 informatic 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/.

摘要

高通量药物筛选是癌症药物研发的有力工具。然而,此类筛选结果通常仅以原始数据形式提供,这对于缺乏信息学技能的研究人员来说难以处理,或者以经过高度处理的汇总统计数据形式提供,而这些汇总统计数据可能缺少将筛选结果转化为具有临床意义的发现所需的关键信息。为提高这些数据集的可用性,我们开发了Simplicity,这是一个强大且用户友好的网络界面,用于可视化、探索和汇总高通量药物筛选的原始数据和处理后的数据。重要的是,Simplicity允许在用户定义的药物浓度下轻松重新计算汇总统计数据。这使得Simplicity的输出可用于依赖在临床相关剂量下计算统计数据的方法。可通过https://oncotherapyinformatics.org/simplicity/免费访问Simplicity。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6939/10515753/a7b23f2c7a58/nihpp-2023.09.08.556619v1-f0001.jpg

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