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