一个以XIC为中心的战略,以改善蛋白质组数据分析中的识别和量化

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Updated: Jun 28, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

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Guanghui Wang1, Zheng Zhang1, Yi Liu1

  • 1Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.

Journal of proteome research
|April 10, 2024
PubMed
概括

本研究引入了一种双向,以XIC为中心的蛋白质组数据分析方法. 这种方法提高了识别和量化准确性,提高了基于质谱的蛋白质组学的整体可重现性.

关键词:
十一 十一 十一 十一 十一一个以XIC为中心的XIC.葡萄糖酸糖是一种葡萄糖.标识 标识 标识 标识 标识一个同位素的单一同位素.量化量化量化的量化.可复制性的可复制性验证验证的时间

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