Building consensus spectral libraries for peptide identification in proteomics
Top Cited Papers
- 21 September 2008
- journal article
- research article
- Published by Springer Nature in Nature Methods
- Vol. 5 (10) , 873-875
- https://doi.org/10.1038/nmeth.1254
Abstract
Spectral searching, based on matching experimental peptide spectra to reference spectral libraries, is gaining interest as an alternative to traditional sequence-database searching in mass spectrometry–based proteomics. A software tool, SpectraST, now allows users to build their own high-quality spectral libraries from raw data. 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.Keywords
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