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Cited by 745

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

A guided tour of the Trans‐Proteomic Pipeline

Open access
Deutsch, Eric W., Mendoza, Luis, Shteynberg, David, Farrah, Terry, Lam, Henry, Tasman, Natalie, Sun, Zhi, Nilsson, Erik, Pratt, Brian, Prazen, Bryan, Eng, Jimmy K., Martin, Daniel B., Nesvizhskii, Alexey I., Aebersold, Ruedi·2010·PROTEOMICS

Abstract

The Trans‐Proteomic Pipeline (TPP) is a suite of software tools for the analysis of MS/MS data sets. The tools encompass most of the steps in a proteomic data analysis workflow in a single, integrated software system. Specifically, the TPP supports all steps from spectrometer output file conversion to protein‐level statistical validation, including quantification by stable isotope ratios. We describe here the full workflow of the TPP and the tools therein, along with an example on a sample data set, demonstrating that the setup and use of the tools are straightforward and well supported and do not require specialized informatic resources or knowledge.

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Crossref · 10.1002/pmic.200900375

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Metadata

Authors
Deutsch, E. W., Mendoza, L., Shteynberg, D., Farrah, T., Lam, H., Tasman, N., Sun, Z., Nilsson, E., Pratt, B., Prazen, B., Eng, J. K., Martin, D. B., Nesvizhskii, A. I., & Aebersold, R.
Venue
PROTEOMICS
Publisher
Wiley
Published
2010-03
Volume
10
Issue
6
Pages
1150-1159
ISSN
  • 1615-9853 (ISSN-L)
  • 1615-9861
OpenAlex
W2137043026
Cited by
745
References
4
FWCI
27.08
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A guided tour of the Trans‐Proteomic Pipeline. https://app.cochat.ai/papers/10.1002/pmic.200900375
The paper
Deutsch, E. W., Mendoza, L., Shteynberg, D., Farrah, T., Lam, H., Tasman, N., Sun, Z., Nilsson, E., Pratt, B., Prazen, B., Eng, J. K., Martin, D. B., Nesvizhskii, A. I., & Aebersold, R. (2010). A guided tour of the Trans‐Proteomic Pipeline. PROTEOMICS. https://doi.org/10.1002/pmic.200900375

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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.