Dong Yonghui, Wachsman Tal, Morgan Liat, Gazit Ehud, Birkler Rune Isak Dupont
Blavatnik Center for Drug Design, Tel Aviv University, Tel Aviv 69978, Israel.
Bioinform Adv. 2021 Oct 28;1(1):vbab029. doi: 10.1093/bioadv/vbab029. eCollection 2021.
The accuracy of any analytical method is highly dependent on the selection of an appropriate calibration model. Here, we present CCWeights, an R package for automated assessment and selection of weighting factors for accurate quantification using linear calibration curve. Additionally, CCWeights includes a web application that allows users to analyze their data using an interactive graphical user interface, without any programming requirements. The workflow and features of CCWeights are illustrated by the analyses of two datasets acquired by liquid chromatography-mass spectrometry (LC-MS). The resulting quantification table can be directly utilized for further model assessment and subsequent data analysis.
CCWeights is publicly available on CRAN repository (https://cran.r-project.org/web/packages/CCWeights), with source code available on GitHub (https://github.com/YonghuiDong/CCWeights) under a GPL-3 license. The web application can be run locally from R console using a simple command "runGui()". Alternatively, the web application can be freely accessed for direct online use at https://bcdd.shinyapps.io/CCWeights/.
Supplementary data are available at online.
任何分析方法的准确性高度依赖于合适校准模型的选择。在此,我们展示了CCWeights,这是一个用于使用线性校准曲线进行准确量化的加权因子自动评估和选择的R包。此外,CCWeights包含一个网络应用程序,允许用户通过交互式图形用户界面分析他们的数据,而无需任何编程要求。通过对液相色谱 - 质谱(LC - MS)获取的两个数据集的分析来说明CCWeights的工作流程和功能。所得的量化表可直接用于进一步的模型评估和后续数据分析。
CCWeights可在CRAN仓库(https://cran.r-project.org/web/packages/CCWeights)上公开获取,其源代码在GitHub(https://github.com/YonghuiDong/CCWeights)上以GPL - 3许可提供。网络应用程序可以使用简单命令“runGui()”从R控制台本地运行。或者,可以在https://bcdd.shinyapps.io/CCWeights/上免费访问网络应用程序以进行直接在线使用。
补充数据可在网上获取。