Improving Sensitivity in Shotgun Proteomics Using a Peptide-Centric Database with Reduced Complexity: Protease Cleavage and SCX Elution Rules from Data Mining of MS/MS Spectra-Reference-Cited by-同舟云学术

Improving Sensitivity in Shotgun Proteomics Using a Peptide-Centric Database with Reduced Complexity: Protease Cleavage and SCX Elution Rules from Data Mining of MS/MS Spectra

Published:2006-01-13 Issue:4 Volume:78 Page:1071-1084
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Yen Chia-Yu¹,Russell Steve¹,Mendoza Alex M.¹,Meyer-Arendt Karen¹,Sun Shaojun¹,Cios Krzysztof J.¹,Ahn Natalie G.¹,Resing Katheryn A.¹

Affiliation:

1. Department of Computer Science and Engineering, University of Colorado at Denver and Health Sciences Center, Denver, Colorado 80217-3364, Center of Computational Pharmacology, University of Colorado at Denver and Health Sciences Center, Aurora, Colorado 80045-0511, Department of Chemistry and Biochemistry and Department of Computer Science, University of Colorado at Boulder, Boulder, Colorado 80309, and Howard Hughes Medical Institute, Boulder, Colorado 80309-0215

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac051127f

Reference20 articles.

1. Large-scale database searching using tandem mass spectra: Looking up the answer in the back of the book

2. Probability-Based Validation of Protein Identifications Using a Modified SEQUEST Algorithm

3. Qscore: An algorithm for evaluating SEQUEST database search results

4. Improving Reproducibility and Sensitivity in Identifying Human Proteins by Shotgun Proteomics

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