Building consensus spectral libraries for peptide identification in proteomics

Henry Lam; Eric W. Deutsch; James S. Eddes; Jimmy K. Eng; Stephen E. Stein; Ruedi Aebersold

doi:10.1038/nmeth.1254

Building consensus spectral libraries for peptide identification in proteomics

Henry Lam, Eric W. Deutsch, James S. Eddes, Jimmy K. Eng, Stephen E. Stein, Ruedi Aebersold

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

237 Citations (Scopus)

Résumé

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.

langue originale	Anglais
Pages (de - à)	873-875
Nombre de pages	3
journal	Nature Methods
Volume	5
Numéro de publication	10
Les DOIs	https://doi.org/10.1038/nmeth.1254
état	Publié - 1 janv. 2008
Modification externe	Oui

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10.1038/nmeth.1254

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