Fast and Accurate Protein False Discovery Rates on Large-Scale Proteomics Data Sets with Percolator 3.0-Reference-Cited by-同舟云学术

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Fast and Accurate Protein False Discovery Rates on Large-Scale Proteomics Data Sets with Percolator 3.0

Published:2016-08-29 Issue:11 Volume:27 Page:1719-1727
ISSN:1044-0305
Container-title:Journal of the American Society for Mass Spectrometry
language:en
Short-container-title:J. Am. Soc. Mass Spectrom.

Author:

The Matthew¹,MacCoss Michael J.²,Noble William S.²³,Käll Lukas¹

Affiliation:

1. Science for Life Laboratory, School of Biotechnology, KTH – Royal Institute of Technology, 17121, Solna, Sweden

2. Department of Genome Sciences, School of Medicine, University of Washington, 98195, Seattle, WA, USA

3. Department of Computer Science and Engineering, University of Washington, 98195, Seattle, WA, USA

Funder

Foundation for the National Institutes of Health

Publisher

American Chemical Society (ACS)

Subject

Spectroscopy,Structural Biology

Link

http://link.springer.com/content/pdf/10.1007/s13361-016-1460-7.pdf

Reference28 articles.

1. Semi-supervised learning for peptide identification from shotgun proteomics datasets

2. An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database

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

4. Craig, R., Beavis, R.C.: TANDEM: matching proteins with tandem mass spectra. Bioinformatics 20(9), 1466–1467 (2004)

5. Spectral Probabilities and Generating Functions of Tandem Mass Spectra: A Strike against Decoy Databases

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