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Cited by 694

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Open Source System for Analyzing, Validating, and Storing Protein Identification Data

Open access
Craig, Robertson, Cortens, John P., Beavis, Ronald C.·2004·Journal of Proteome Research

Abstract

This paper describes an open-source system for analyzing, storing, and validating proteomics information derived from tandem mass spectrometry. It is based on a combination of data analysis servers, a user interface, and a relational database. The database was designed to store the minimum amount of information necessary to search and retrieve data obtained from the publicly available data analysis servers. Collectively, this system was referred to as the Global Proteome Machine (GPM). The components of the system have been made available as open source development projects. A publicly available system has been established, comprised of a group of data analysis servers and one main database server.

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Crossref · 10.1021/pr049882h

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Metadata

Authors
Craig, R., Cortens, J. P., & Beavis, R. C.
Venue
Journal of Proteome Research
Published
2004-10-22
Volume
3
Issue
6
Pages
1234-1242
ISSN
  • 1535-3893 (ISSN-L)
  • 1535-3907
OpenAlex
W2031095666
Cited by
694
References
1
FWCI
11.12
Type
journal article
Language
en
Open access
green

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.