化学
术语
质谱法
数据科学
自动化
领域(数学)
蛋白质组学
计算机科学
生化工程
数据挖掘
色谱法
工程类
机械工程
哲学
语言学
生物化学
数学
纯数学
基因
标识
DOI:10.1021/jasms.2c00218
摘要
Mass spectrometry (MS) is uniquely powerful for measuring the mass of intact proteins and other biomolecules. New applications have expanded intact protein analysis into biopharmaceuticals, native MS, and top-down proteomics, all of which have driven the need for more automated data-processing pipelines. However, key metrics in the field are often not precisely defined. For example, there are different views on how to calculate uncertainty from spectra. This Critical Insight will explore the different definitions of mass, error, and uncertainty. It will discuss situations where different definitions may be more suitable and provide recommendations for best practices. Targeting both beginners and experts, the goal of the discussion is to provide a common foundation of terminology, enhance statistical rigor, and improve automation of data analysis.
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