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Updated: Sep 28, 2025
10:14
Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
Published on: September 2, 2020
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[Advances of chromatogram retention time alignment algorithms in proteomics].
Yi Liu1,2,3, Cheng Chang2,3, Yunping Zhu2,3
1The Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
Summary
Retention time alignment in chromatography is crucial for accurate proteomics identification and quantification. This review covers advanced algorithms and tools, offering insights for proteomics users and future research directions.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Chromatography is fundamental to proteomics workflows.
- Accurate retention time alignment is essential for reliable data.
- Existing algorithms have evolved over years of development.
Purpose of the Study:
- To review advances in chromatographic retention time alignment algorithms and tools for proteomics.
- To provide a proteomics user's perspective on these developments.
- To discuss future directions and applications in proteomics analysis.
Main Methods:
- Literature review of chromatographic retention time alignment algorithms.
- Analysis of tools used in proteomics data processing.
- Synthesis of information from a proteomics user's viewpoint.
Main Results:
- A comprehensive summary of current retention time alignment algorithms.
- An overview of available tools for proteomics applications.
- Identification of trends and challenges in the field.
Conclusions:
- Retention time alignment significantly enhances proteomics identification and quantification.
- The review offers a valuable resource for proteomics researchers.
- Future developments will likely focus on improved accuracy and broader applicability.
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