title: ms_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics.
abstract: MS-based proteomics produces large amounts of mass spectra that require processing, identification and possibly quantification before interpretation can be undertaken. High-throughput studies require automation of these various steps, and management of the data in association with the results obtained. We here present ms_lims (http://genesis.UGent.be/ms_lims), a freely available, open-source system based on a central database to automate data management and processing in MS-driven proteomics analyses.
authors.affiliation: Department of Medical Protein Research, VIB, Ghent, Belgium.
authors.forename: Kenny
authors.initials: K
authors.lastname: Helsens
authors.forename: Niklaas
authors.initials: N
authors.lastname: Colaert
authors.forename: Harald
authors.initials: H
authors.lastname: Barsnes
authors.forename: Thilo
authors.initials: T
authors.lastname: Muth
authors.forename: Kristian
authors.initials: K
authors.lastname: Flikka
authors.forename: An
authors.initials: A
authors.lastname: Staes
authors.forename: Evy
authors.initials: E
authors.lastname: Timmerman
authors.forename: Steffi
authors.initials: S
authors.lastname: Wortelkamp
authors.forename: Albert
authors.initials: A
authors.lastname: Sickmann
authors.forename: Joël
authors.initials: J
authors.lastname: Vandekerckhove
authors.forename: Kris
authors.initials: K
authors.lastname: Gevaert
authors.forename: Lennart
authors.initials: L
authors.lastname: Martens
mesh_terms: D003628:Database Management Systems; D030562:Databases, Protein; D001330:Electronic Data Processing; D016247:Information Storage and Retrieval; D013058:Mass Spectrometry / Q000379:methods; D040901:Proteomics / Q000379:methods*; D012984:Software