| Literature DB >> 20058248 |
Kenny Helsens1, Niklaas Colaert, Harald Barsnes, Thilo Muth, Kristian Flikka, An Staes, Evy Timmerman, Steffi Wortelkamp, Albert Sickmann, Joël Vandekerckhove, Kris Gevaert, Lennart Martens.
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.Mesh:
Year: 2010 PMID: 20058248 DOI: 10.1002/pmic.200900409
Source DB: PubMed Journal: Proteomics ISSN: 1615-9853 Impact factor: 3.984