MS-PyCloud: A Cloud Computing-Based Pipeline for Proteomic and Glycoproteomic Data Analyses-Reference-Cited by-同舟云学术

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MS-PyCloud: A Cloud Computing-Based Pipeline for Proteomic and Glycoproteomic Data Analyses

Published:2024-06-13 Issue:25 Volume:96 Page:10145-10151
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Hu Yingwei¹^ORCID,Schnaubelt Michael¹,Chen Li¹,Zhang Bai¹,Hoang Trung¹,Lih T. Mamie¹,Zhang Zhen¹,Zhang Hui¹^ORCID

Affiliation:

1. Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21231, United States

Funder

National Cancer Institute

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.3c01497

Reference32 articles.

1. Mass spectrometry-based proteomics

2. Proteomics: Challenges, Techniques and Possibilities to Overcome Biological Sample Complexity

3. The MaxQuant computational platform for mass spectrometry-based shotgun proteomics

4. The Perseus computational platform for comprehensive analysis of (prote)omics data

5. MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry–based proteomics

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