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Cited by 265

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Building consensus spectral libraries for peptide identification in proteomics

Open access
Lam, Henry, Deutsch, Eric W, Eddes, James S, Eng, Jimmy K, Stein, Stephen E, Aebersold, Ruedi·2008·Nature Methods

Abstract

Spectral searching has drawn increasing interest as an alternative to sequence-database searching in proteomics. We developed and validated an open-source software toolkit, SpectraST, to enable proteomics researchers to build spectral libraries and to integrate this promising approach in their data-analysis pipeline. It allows individual researchers to condense raw data into spectral libraries, summarizing information about observed proteomes into a concise and retrievable format for future data analyses.

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Crossref · 10.1038/nmeth.1254

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Metadata

Authors
Lam, H., Deutsch, E. W., Eddes, J. S., Eng, J. K., Stein, S. E., & Aebersold, R.
Venue
Nature Methods
Published
2008-09-21
Volume
5
Issue
10
Pages
873-875
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W1986873950
Cited by
265
References
3
FWCI
7.20
Type
journal article
Language
en
Open access
green

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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.