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Cited by 542

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PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows

Open access
Deutsch, Eric W, Lam, Henry, Aebersold, Ruedi·2008·EMBO reports

Abstract

A crucial part of a successful systems biology experiment is an assay that provides reliable, quantitative measurements for each of the components in the system being studied. For proteomics to be a key part of such studies, it must deliver accurate quantification of all the components in the system for each tested perturbation without any gaps in the data. This will require a new approach to proteomics that is based on emerging targeted quantitative mass spectrometry techniques. The PeptideAtlas Project comprises a growing, publicly accessible database of peptides identified in many tandem mass spectrometry proteomics studies and software tools that allow the building of PeptideAtlas, as well as its use by the research community. Here, we describe the PeptideAtlas Project, its contents and components, and show how together they provide a unique platform to select and validate mass spectrometry targets, thereby allowing the next revolution in proteomics.

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Metadata

Authors
Deutsch, E. W., Lam, H., & Aebersold, R.
Venue
EMBO reports
Published
2008-05
Volume
9
Issue
5
Pages
429-434
ISSN
  • 1469-221X (ISSN-L)
  • 1469-3178
OpenAlex
W2104764521
Cited by
542
References
3
FWCI
20.92
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows. https://app.cochat.ai/papers/10.1038/embor.2008.56
The paper
Deutsch, E. W., Lam, H., & Aebersold, R. (2008). PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows. EMBO reports. https://doi.org/10.1038/embor.2008.56

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

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