Enhancing Peptide Identification Confidence by Combining Search Methods-Reference-Cited by-同舟云学术

Enhancing Peptide Identification Confidence by Combining Search Methods

Published:2008-06-18 Issue:8 Volume:7 Page:3102-3113
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Alves Gelio¹,Wu Wells W.¹,Wang Guanghui¹,Shen Rong-Fong¹,Yu Yi-Kuo¹

Affiliation:

1. National Center for Biotechnology Information, Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, and Proteomics Core Facility, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/pr700798h

Reference19 articles.

1. An evaluation, comparison, and accurate benchmarking of several publicly available MS/MS search algorithms: Sensitivity and specificity analysis

2. Comparison of different search engines using validated MS/MS test datasets

3. Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search

4. Calibrating E-values for MS2 database search methods

Cited by 60 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A systematic evaluation of yeast sample preparation protocols for spectral identifications, proteome coverage and post-isolation modifications;Journal of Proteomics;2022-06

2. Comparative Proteomic Profiling of Secreted Extracellular Vesicles from Breast Fibroadenoma and Malignant Lesions: A Pilot Study;International Journal of Molecular Sciences;2022-04-03

3. A systematic evaluation of yeast sample preparation protocols for spectral identifications, proteome coverage and post-isolation modifications;2022-01-20

4. Visualizing the agreement of peptide assignments between different search engines;Journal of Mass Spectrometry;2019-12-03

5. Robust Accurate Identification and Biomass Estimates of Microorganisms via Tandem Mass Spectrometry;Journal of the American Society for Mass Spectrometry;2019-11-20