Brief Communication abstract


Nature Methods 5, 873 - 875 (2008)
Published online: 21 September 2008 | doi:10.1038/nmeth.1254

Building consensus spectral libraries for peptide identification in proteomics

Henry Lam1,2, Eric W Deutsch1, James S Eddes1, Jimmy K Eng1, Stephen E Stein3 & Ruedi Aebersold1,4

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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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  1. Institute for Systems Biology, 1441 N. 34th Street, Seattle, Washington 98103, USA.
  2. Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.
  3. National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, USA.
  4. Institute of Molecular Systems Biology, Swiss Federal Institute of Technology, Eidgenössische Technische Hochschule Hönggerberg, Wolfgang Pauli Str. 16, HPT, and Faculty of Natural Sciences, University of Zürich, CH-8093 Zurich, Switzerland.

Correspondence to: Henry Lam1,2 e-mail: kehlam@ust.hk



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