Building consensus spectral libraries for peptide identification in proteomics.

Building consensus spectral libraries for peptide identification in proteomics. Research Abstract Details 

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Building consensus spectral libraries for peptide identification in proteomics. Abstract Text:

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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Building consensus spectral libraries for peptide identification in proteomics. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Nature methods

VOLUME: 5

Page Numbers: 873-5

Journal Abbreviation: Nat. Methods

ISSN: 1548-7105

DAY: 21

MONTH: 09

YEAR: 2008

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LANGUAGE: eng

NlmUniqueID: 101215604

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Grant and Affiliation Information for Building consensus spectral libraries for peptide identification in proteomics.

AFFILIATION: [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.

Country: United States

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