Ghent University Academic Bibliography

Advanced

sfinx : an R package for the elimination of false positives from affinity purification-mass spectrometry datasets

Kevin Titeca UGent, Pieter Meysman, Kris Laukens, Lennart Martens UGent, Jan Tavernier UGent and Sven Eyckerman UGent (2017) BIOINFORMATICS. 33(12). p.1902-1904
abstract
We describe sfinx, an R package providing access to the straightforward filtering index (SFINX) for the separation of true positive from false positive protein interactions in affinity purification-mass spectrometry datasets. This package maintains the reliability and user-friendliness of the SFINX web site interface but is faster, unlimited in input size, and can be run locally within R.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
PROTEIN-INTERACTION NETWORKS, COMPLEXES
journal title
BIOINFORMATICS
Bioinformatics
volume
33
issue
12
pages
1902 - 1904
Web of Science type
Article
Web of Science id
000403163300029
ISSN
1367-4803
1460-2059
DOI
10.1093/bioinformatics/btx076
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8514808
handle
http://hdl.handle.net/1854/LU-8514808
date created
2017-03-20 09:04:55
date last changed
2018-03-09 09:56:05
@article{8514808,
  abstract     = {We describe sfinx, an R package providing access to the straightforward filtering index (SFINX) for the separation of true positive from false positive protein interactions in affinity purification-mass spectrometry datasets. This package maintains the reliability and user-friendliness of the SFINX web site interface but is faster, unlimited in input size, and can be run locally within R.},
  author       = {Titeca, Kevin and Meysman, Pieter and Laukens, Kris and Martens, Lennart and Tavernier, Jan and Eyckerman, Sven},
  issn         = {1367-4803},
  journal      = {BIOINFORMATICS},
  keyword      = {PROTEIN-INTERACTION NETWORKS,COMPLEXES},
  language     = {eng},
  number       = {12},
  pages        = {1902--1904},
  title        = {sfinx : an R package for the elimination of false positives from affinity purification-mass spectrometry datasets},
  url          = {http://dx.doi.org/10.1093/bioinformatics/btx076},
  volume       = {33},
  year         = {2017},
}

Chicago
Titeca, Kevin, Pieter Meysman, Kris Laukens, Lennart Martens, Jan Tavernier, and Sven Eyckerman. 2017. “Sfinx : an R Package for the Elimination of False Positives from Affinity Purification-mass Spectrometry Datasets.” Bioinformatics 33 (12): 1902–1904.
APA
Titeca, Kevin, Meysman, P., Laukens, K., Martens, L., Tavernier, J., & Eyckerman, S. (2017). sfinx : an R package for the elimination of false positives from affinity purification-mass spectrometry datasets. BIOINFORMATICS, 33(12), 1902–1904.
Vancouver
1.
Titeca K, Meysman P, Laukens K, Martens L, Tavernier J, Eyckerman S. sfinx : an R package for the elimination of false positives from affinity purification-mass spectrometry datasets. BIOINFORMATICS. 2017;33(12):1902–4.
MLA
Titeca, Kevin, Pieter Meysman, Kris Laukens, et al. “Sfinx : an R Package for the Elimination of False Positives from Affinity Purification-mass Spectrometry Datasets.” BIOINFORMATICS 33.12 (2017): 1902–1904. Print.