Integrating Genomic, Transcriptomic, and Interactome Data to Improve Peptide and Protein Identification in Shotgun Proteomics-Reference-Cited by-同舟云学术

Integrating Genomic, Transcriptomic, and Interactome Data to Improve Peptide and Protein Identification in Shotgun Proteomics

Published:2014-05-12 Issue:6 Volume:13 Page:2715-2723
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Wang Xiaojing¹,Zhang Bing¹

Affiliation:

1. Department of Biomedical Informatics, ‡Vanderbilt-Ingram Cancer Center, and §Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, United States

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/pr500194t

Reference63 articles.

1. Deep proteome and transcriptome mapping of a human cancer cell line

2. Probability-based protein identification by searching sequence databases using mass spectrometry data

3. TANDEM: matching proteins with tandem mass spectra

4. MyriMatch: Highly Accurate Tandem Mass Spectral Peptide Identification by Multivariate Hypergeometric Analysis

5. IDPicker 2.0: Improved Protein Assembly with High Discrimination Peptide Identification Filtering

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