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decodeRNA-predicting non-coding RNA functions using guilt-by-association

Steve Lefever (UGent) , Jasper Anckaert (UGent) , Pieter-Jan Volders (UGent) , Manuel Luypaert (UGent) , Jo Vandesompele (UGent) and Pieter Mestdagh (UGent)
(2017) DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION.
Author
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Abstract
Although the long non-coding RNA (lncRNA) landscape is expanding rapidly, only a small number of lncRNAs have been functionally annotated. Here, we present decodeRNA (http://www.decoderna.org), a database providing functional contexts for both human lncRNAs and microRNAs in 29 cancer and 12 normal tissue types. With state-of-the-art data mining and visualization options, easy access to results and a straightforward user interface, decodeRNA aims to be a powerful tool for researchers in the ncRNA field.

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MLA
Lefever, Steve, et al. “DecodeRNA-Predicting Non-Coding RNA Functions Using Guilt-by-Association.” DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2017, doi:10.1093/database/bax042.
APA
Lefever, S., Anckaert, J., Volders, P.-J., Luypaert, M., Vandesompele, J., & Mestdagh, P. (2017). decodeRNA-predicting non-coding RNA functions using guilt-by-association. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION. https://doi.org/10.1093/database/bax042
Chicago author-date
Lefever, Steve, Jasper Anckaert, Pieter-Jan Volders, Manuel Luypaert, Jo Vandesompele, and Pieter Mestdagh. 2017. “DecodeRNA-Predicting Non-Coding RNA Functions Using Guilt-by-Association.” DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION. https://doi.org/10.1093/database/bax042.
Chicago author-date (all authors)
Lefever, Steve, Jasper Anckaert, Pieter-Jan Volders, Manuel Luypaert, Jo Vandesompele, and Pieter Mestdagh. 2017. “DecodeRNA-Predicting Non-Coding RNA Functions Using Guilt-by-Association.” DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION. doi:10.1093/database/bax042.
Vancouver
1.
Lefever S, Anckaert J, Volders P-J, Luypaert M, Vandesompele J, Mestdagh P. decodeRNA-predicting non-coding RNA functions using guilt-by-association. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION. 2017;
IEEE
[1]
S. Lefever, J. Anckaert, P.-J. Volders, M. Luypaert, J. Vandesompele, and P. Mestdagh, “decodeRNA-predicting non-coding RNA functions using guilt-by-association,” DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2017.
@article{8562986,
  abstract     = {{Although the long non-coding RNA (lncRNA) landscape is expanding rapidly, only a small number of lncRNAs have been functionally annotated. Here, we present decodeRNA (http://www.decoderna.org), a database providing functional contexts for both human lncRNAs and microRNAs in 29 cancer and 12 normal tissue types. With state-of-the-art data mining and visualization options, easy access to results and a straightforward user interface, decodeRNA aims to be a powerful tool for researchers in the ncRNA field.}},
  articleno    = {{bax042}},
  author       = {{Lefever, Steve and Anckaert, Jasper and Volders, Pieter-Jan and Luypaert, Manuel and Vandesompele, Jo and Mestdagh, Pieter}},
  issn         = {{1758-0463}},
  journal      = {{DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION}},
  language     = {{eng}},
  pages        = {{8}},
  title        = {{decodeRNA-predicting non-coding RNA functions using guilt-by-association}},
  url          = {{http://doi.org/10.1093/database/bax042}},
  year         = {{2017}},
}
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