Computational Proteomics Analysis System (CPAS): an extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments.
The open-source Computational Proteomics Analysis System (CPAS) contains an entire data analysis and management pipeline for Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) proteomics, including experiment annotation, protein database searching and sequence management, and mining LC-MS/MS peptide and protein identifications. CPAS architecture and features, such as a general experiment annotation component, installation software, and data security management, make it useful for collaborative projects across geographical locations and for proteomics laboratories without substantial computational support.
Rauch
Adam
A
Fred Hutchinson Cancer Research Center, Seattle, Washington, LabKey Software, Seattle, Washington 98109-1024, USA.
Bellew
Matthew
M
Eng
Jimmy
J
Fitzgibbon
Matthew
M
Holzman
Ted
T
Hussey
Peter
P
Igra
Mark
M
Maclean
Brendan
B
Lin
Chen Wei
CW
Detter
Andrea
A
Fang
Ruihua
R
Faca
Vitor
V
Gafken
Phil
P
Zhang
Heidi
H
Whiteaker
Jeffrey
J
Whitaker
Jeffrey
J
States
David
D
Hanash
Sam
S
Paulovich
Amanda
A
McIntosh
Martin W
MW
D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D040901:Proteomics / Q000379:methods*