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ms_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics

(2010) PROTEOMICS. 10(6). p.1261-1264
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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.
Keywords
MASS, MS, Mascot, Laboratory information management system, Bioinformatics, Data management, QUANTIFICATION, IDENTIFICATION, PRIDE

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Chicago
Helsens, Kenny, Niklaas Colaert, Harald Barsnes, Thilo Muth, Kristian Flikka, An Staes, Evy Timmerman, et al. 2010. “Ms_lims, a Simple yet Powerful Open Source Laboratory Information Management System for MS-driven Proteomics.” Proteomics 10 (6): 1261–1264.
APA
Helsens, K., Colaert, N., Barsnes, H., Muth, T., Flikka, K., Staes, A., Timmerman, E., et al. (2010). ms_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics. PROTEOMICS, 10(6), 1261–1264.
Vancouver
1.
Helsens K, Colaert N, Barsnes H, Muth T, Flikka K, Staes A, et al. ms_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics. PROTEOMICS. 2010;10(6):1261–4.
MLA
Helsens, Kenny, Niklaas Colaert, Harald Barsnes, et al. “Ms_lims, a Simple yet Powerful Open Source Laboratory Information Management System for MS-driven Proteomics.” PROTEOMICS 10.6 (2010): 1261–1264. Print.
@article{936040,
  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.},
  author       = {Helsens, Kenny and Colaert, Niklaas and Barsnes, Harald and Muth, Thilo and Flikka, Kristian and Staes, An and Timmerman, Evy and Wortelkamp, Steffi and Sickmann, Albert and Vandekerckhove, Jo{\"e}l and Gevaert, Kris and Martens, Lennart},
  issn         = {1615-9853},
  journal      = {PROTEOMICS},
  keyword      = {MASS,MS,Mascot,Laboratory information management system,Bioinformatics,Data management,QUANTIFICATION,IDENTIFICATION,PRIDE},
  language     = {eng},
  number       = {6},
  pages        = {1261--1264},
  title        = {ms\_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics},
  url          = {http://dx.doi.org/10.1002/pmic.200900409},
  volume       = {10},
  year         = {2010},
}

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