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SFINX : straightforward filtering index for affinity purification mass spectrometry data analysis

(2016) JOURNAL OF PROTEOME RESEARCH. 15(1). p.332-338
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Abstract
Affinity purification-mass spectrometry is one of the most common techniques for the analysis of protein-protein interactions, but inferring bona fide interactions from the resulting data sets remains notoriously difficult. We introduce SFINX, a Straightforward Filtering INdeX that identifies true-positive protein interactions in a fast, user-friendly, and highly accurate way. SFINX outperforms alternative techniques on two benchmark data sets and is available via the Web interface at http://sfinx.ugent.be/.
Keywords
FEATURES, INTEGRATION, NETWORK, PROTEIN, HUMAN INTERACTOME, SACCHAROMYCES-CEREVISIAE, interaction detection, protein-protein interactions, affinity purification-mass spectrometry, interaction filtering, interactomics

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Chicago
Titeca, Kevin, Pieter Meysman, Kris Gevaert, Jan Tavernier, Kris Laukens, Lennart Martens, and Sven Eyckerman. 2016. “SFINX : Straightforward Filtering Index for Affinity Purification Mass Spectrometry Data Analysis.” Journal of Proteome Research 15 (1): 332–338.
APA
Titeca, Kevin, Meysman, P., Gevaert, K., Tavernier, J., Laukens, K., Martens, L., & Eyckerman, S. (2016). SFINX : straightforward filtering index for affinity purification mass spectrometry data analysis. JOURNAL OF PROTEOME RESEARCH, 15(1), 332–338.
Vancouver
1.
Titeca K, Meysman P, Gevaert K, Tavernier J, Laukens K, Martens L, et al. SFINX : straightforward filtering index for affinity purification mass spectrometry data analysis. JOURNAL OF PROTEOME RESEARCH. 2016;15(1):332–8.
MLA
Titeca, Kevin et al. “SFINX : Straightforward Filtering Index for Affinity Purification Mass Spectrometry Data Analysis.” JOURNAL OF PROTEOME RESEARCH 15.1 (2016): 332–338. Print.
@article{7063498,
  abstract     = {Affinity purification-mass spectrometry is one of the most common techniques for the analysis of protein-protein interactions, but inferring bona fide interactions from the resulting data sets remains notoriously difficult. We introduce SFINX, a Straightforward Filtering INdeX that identifies true-positive protein interactions in a fast, user-friendly, and highly accurate way. SFINX outperforms alternative techniques on two benchmark data sets and is available via the Web interface at http://sfinx.ugent.be/.},
  author       = {Titeca, Kevin and Meysman, Pieter and Gevaert, Kris and Tavernier, Jan and Laukens, Kris and Martens, Lennart and Eyckerman, Sven},
  issn         = {1535-3893},
  journal      = {JOURNAL OF PROTEOME RESEARCH},
  keywords     = {FEATURES,INTEGRATION,NETWORK,PROTEIN,HUMAN INTERACTOME,SACCHAROMYCES-CEREVISIAE,interaction detection,protein-protein interactions,affinity purification-mass spectrometry,interaction filtering,interactomics},
  language     = {eng},
  number       = {1},
  pages        = {332--338},
  title        = {SFINX : straightforward filtering index for affinity purification mass spectrometry data analysis},
  url          = {http://dx.doi.org/10.1021/acs.jproteome.5b00666},
  volume       = {15},
  year         = {2016},
}

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