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

Kenny Helsens UGent, Niklaas Colaert UGent, Harald Barsnes, Thilo Muth, Kristian Flikka, An Staes UGent, Evy Timmerman UGent, Steffi Wortelkamp, Albert Sickmann, Joël Vandekerckhove, et al. (2010) PROTEOMICS. 10(6). p.1261-1264
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
MASS, MS, Mascot, Laboratory information management system, Bioinformatics, Data management, QUANTIFICATION, IDENTIFICATION, PRIDE
journal title
PROTEOMICS
Proteomics
volume
10
issue
6
pages
1261 - 1264
Web of Science type
Article
Web of Science id
000276337800017
JCR category
BIOCHEMICAL RESEARCH METHODS
JCR impact factor
4.815 (2010)
JCR rank
13/70 (2010)
JCR quartile
1 (2010)
ISSN
1615-9853
DOI
10.1002/pmic.200900409
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
936040
handle
http://hdl.handle.net/1854/LU-936040
date created
2010-04-23 11:39:41
date last changed
2016-12-19 15:45:22
@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},
}

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.