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Cited by 174

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

PROTEOMICS

Open access
de Hoog, Carmen L., Mann, Matthias·2004·Annual Review of Genomics and Human Genetics

Abstract

▪ Abstract The genome sequences of important model systems are available and the focus is now shifting to large-scale experiments enabled by this data. Following in the footsteps of genomics, we have functional genomics, proteomics, and even metabolomics, roughly paralleling the biological hierarchy of the transcription, translation, and production of small molecules. Proteomics is initially concerned with determining the structure, expression, localization, biochemical activity, interactions, and cellular roles of as many proteins as possible. There has been great progress owing to novel instrumentation, experimental strategies, and bioinformatics methods. The area of protein-protein interactions has been especially fruitful. First pass interaction maps of some model organisms exist, and the proteins in many important organelles are about to be determined. Researchers are also beginning to integrate large-scale data sets from various “omics” disciplines in targeted investigations of specific biomedical areas and in pursuit of a general framework for systems biology.

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Crossref · 10.1146/annurev.genom.4.070802.110305

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Metadata

Authors
de Hoog, C. L., & Mann, M.
Venue
Annual Review of Genomics and Human Genetics
Published
2004-09-22
Volume
5
Issue
1
Pages
267-293
ISSN
  • 1527-8204 (ISSN-L)
  • 1545-293X
OpenAlex
W4252140292
Cited by
174
References
13
FWCI
1.61
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: PROTEOMICS. https://app.cochat.ai/papers/10.1146/annurev.genom.4.070802.110305
The paper
de Hoog, C. L., & Mann, M. (2004). PROTEOMICS. Annual Review of Genomics and Human Genetics. https://doi.org/10.1146/annurev.genom.4.070802.110305

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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.