Degnan David J, Claborne Daniel M, White Amanda M, Akers Sarah M, Winans Natalie M, Corilo Yuri E, Strauch Clayton W, Bailey Vanessa L, McCue Lee Ann, Stratton Kelly G, Bramer Lisa M
Biological Sciences Division, University of Chicago, Illinois, Chicago, USA.
AI and Data Analytics Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Rapid Commun Mass Spectrom. 2025 Apr 15;39(7):e9980. doi: 10.1002/rcm.9980.
The high-resolution measurement capability of Fourier-transform mass spectrometry (FT-MS) has made it a necessity for exploring the molecular composition of complex organic mixtures, like soil, plant, aquatic, and petroleum samples. This demand has driven a need for informatics tools to explore and analyze FT-MS data in a robust and reproducible manner.
FREDA is an interactive web application developed to enable spectrometrists to format, process, and explore their FT-MS data without the need for statistical programming expertise. FREDA was built to explore outputs from a molecular identification tool, like CoreMS, and provide a suite of methods to filter data, compute chemical properties of peaks, statistically compare samples and groups of samples, conduct exploratory data analysis, and download the results with a report detailing all steps conducted.
To demonstrate the utility of FREDA, an example analysis was conducted using FT-MS data from a soil microbiology study of samples collected in two different soil depths at the Sphagnum bog forest north of Grand Rapids, Minnesota. Differences between the two depths are observed using Kendrick, Gibbs free energy, and van Krevelen plots. G-tests are used to quantify a significant difference between the groups. All analyses and plotting are conducted using only the FREDA application.
FREDA is an open-source and readily available web application that allows users to explore and make statistically valid conclusions about their FT-MS data. The application is available online (https://map.emsl.pnnl.gov/app/freda) with a tutorial web series (https://youtu.be/k5HLE2kNSBY?si=yB6sGoyvzxrFf5MP) and freely accessible code on Github (https://github.com/EMSL-Computing/FREDA).
傅里叶变换质谱(FT-MS)的高分辨率测量能力使其成为探索复杂有机混合物(如土壤、植物、水生和石油样品)分子组成的必要手段。这种需求推动了对信息学工具的需求,以便以稳健且可重复的方式探索和分析FT-MS数据。
FREDA是一个交互式网络应用程序,旨在使光谱学家能够格式化、处理和探索他们的FT-MS数据,而无需统计编程专业知识。FREDA的构建目的是探索分子识别工具(如CoreMS)的输出,并提供一套方法来过滤数据、计算峰的化学性质、对样品和样品组进行统计比较、进行探索性数据分析,以及下载详细说明所执行所有步骤的报告结果。
为了证明FREDA的实用性,使用来自明尼苏达州大急流城以北泥炭藓沼泽森林中两个不同土壤深度采集的样品的土壤微生物学研究的FT-MS数据进行了示例分析。使用肯德里克图、吉布斯自由能图和范克雷维伦图观察到两个深度之间的差异。G检验用于量化组间的显著差异。所有分析和绘图仅使用FREDA应用程序进行。
FREDA是一个开源且易于使用的网络应用程序,允许用户探索其FT-MS数据并得出具有统计有效性的结论。该应用程序可在线获取(https://map.emsl.pnnl.gov/app/freda),并配有教程网络系列(https://youtu.be/k5HLE2kNSBY?si=yB6sGoyvzxrFf5MP),其代码可在Github上免费获取(https://github.com/EMSL-Computing/FREDA)