Abstract
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.
Original language | English |
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Pages (from-to) | 873-875 |
Number of pages | 3 |
Journal | Nature Methods |
Volume | 5 |
Issue number | 10 |
DOIs | |
Publication status | Published - 22 Sept 2008 |
Externally published | Yes |