title: Building consensus spectral libraries for peptide identification in proteomics.
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.
authors.affiliation: Institute for Systems Biology, Seattle, Washington 98103, USA. kehlam@ust.hk
authors.forename: Henry
authors.initials: H
authors.lastname: Lam
authors.forename: Eric W
authors.initials: EW
authors.lastname: Deutsch
authors.forename: James S
authors.initials: JS
authors.lastname: Eddes
authors.forename: Jimmy K
authors.initials: JK
authors.lastname: Eng
authors.forename: Stephen E
authors.initials: SE
authors.lastname: Stein
authors.forename: Ruedi
authors.initials: R
authors.lastname: Aebersold
mesh_terms: D030562:Databases, Protein; D013058:Mass Spectrometry; D019151:Peptide Library; D040901:Proteomics
chemical_list: D019151:Peptide Library