Advanced search
1 file | 79.89 KB

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

(2017) BIOINFORMATICS. 33(12). p.1902-1904
Author
Organization
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.
Keywords
PROTEIN-INTERACTION NETWORKS, COMPLEXES

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • binary/octet-stream
    • |
    • 79.89 KB

Citation

Please use this url to cite or link to this publication:

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.
@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},
}

Altmetric
View in Altmetric
Web of Science
Times cited: