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
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.
- Institute for Systems Biology, 1441 N. 34th Street, Seattle, Washington 98103, USA.
- Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.
- National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, USA.
- 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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