A Computational Strategy to Analyze Label-Free Temporal Bottom-Up Proteomics Data-Reference-Cited by-同舟云学术

A Computational Strategy to Analyze Label-Free Temporal Bottom-Up Proteomics Data

Published:2008-04-29 Issue:7 Volume:7 Page:2595-2604
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Du Xiuxia¹,Callister Stephen J.¹,Manes Nathan P.¹,Adkins Joshua N.¹,Alexandridis Roxana A.¹,Zeng Xiaohua¹,Roh Jung Hyeob¹,Smith William E.¹,Donohue Timothy J.¹,Kaplan Samuel¹,Smith Richard D.¹,Lipton Mary S.¹

Affiliation:

1. Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, Department of Bacteriology, University of Wisconsin—Madison, Madison, Wisconsin 53706, and Department of Microbiology & Molecular Genetics, Medical School, University of Texas—Houston, Houston, Texas 77225

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/pr0704837

Reference32 articles.

1. Advances in proteomics data analysis and display using an accurate mass and time tag approach

2. Global analysis of the Deinococcus radiodurans proteome by using accurate mass tags

3. Quantitative Cancer Proteomics: Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) as a Tool for Prostate Cancer Research

4. Comparison of aerobic and photosynthetic Rhodobacter sphaeroides 2.4.1 proteomes

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