
decodeRNA-predicting non-coding RNA functions using guilt-by-association
- Author
- Steve Lefever (UGent) , Jasper Anckaert (UGent) , Pieter-Jan Volders (UGent) , Manuel Luypaert (UGent) , Jo Vandesompele (UGent) and Pieter Mestdagh (UGent)
- Organization
- 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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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8562986
- 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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