Preprocessing Tandem Mass Spectra Using Genetic Programming for Peptide Identification-Reference-Cited by-同舟云学术

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Preprocessing Tandem Mass Spectra Using Genetic Programming for Peptide Identification

Published:2019-04-25 Issue:7 Volume:30 Page:1294-1307
ISSN:1044-0305
Container-title:Journal of the American Society for Mass Spectrometry
language:en
Short-container-title:J. Am. Soc. Mass Spectrom.

Author:

Azari Samaneh¹²,Xue Bing¹,Zhang Mengjie¹,Peng Lifeng³

Affiliation:

1. School of Engineering and Computer Science, Victoria University of Wellington, 6012, Wellington, Kelburn, New Zealand

2. School of Engineering and Computer Science, Victoria University of Wellington, 6140, Wellington, New Zealand

3. Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand

Funder

Marsden Fund

Huawei Industry Fund

University Research Fund at Victoria University of Wellington

Publisher

American Chemical Society (ACS)

Subject

Spectroscopy,Structural Biology

Link

http://link.springer.com/content/pdf/10.1007/s13361-019-02196-5.pdf

Reference29 articles.

1. Proteomics to study genes and genomes

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

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

4. Challenges in Computational Analysis of Mass Spectrometry Data for Proteomics

5. Proteomic analysis of post-translational modifications

Cited by 2 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. Machine Learning for Mass Spectrometry Data Analysis in Proteomics;Current Proteomics;2021-11-23

2. A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry;Lecture Notes in Computer Science;2020

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