Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data
- Author
- Alemu Takele Assefa (UGent) , Katrijn De Paepe, Celine Everaert (UGent) , Pieter Mestdagh (UGent) , Olivier Thas (UGent) and Jo Vandesompele (UGent)
- Organization
- Keywords
- RNA-seq, mRNA, lncRNA, Differential gene expression
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8599289
- Chicago
- Assefa, Alemu Takele, Katrijn De Paepe, Celine Everaert, Pieter Mestdagh, Olivier Thas, and Jo Vandesompele. 2018. “Differential Gene Expression Analysis Tools Exhibit Substandard Performance for Long Non-coding RNA-sequencing Data.” Genome Biology 19 (1).
- APA
- Assefa, A. T., De Paepe, K., Everaert, C., Mestdagh, P., Thas, O., & Vandesompele, J. (2018). Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data. Genome Biology, 19(1).
- Vancouver
- 1.Assefa AT, De Paepe K, Everaert C, Mestdagh P, Thas O, Vandesompele J. Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data. Genome Biology. Springer Nature; 2018;19(1).
- MLA
- Assefa, Alemu Takele et al. “Differential Gene Expression Analysis Tools Exhibit Substandard Performance for Long Non-coding RNA-sequencing Data.” Genome Biology 19.1 (2018): n. pag. Print.
@article{8599289,
author = {Assefa, Alemu Takele and De Paepe, Katrijn and Everaert, Celine and Mestdagh, Pieter and Thas, Olivier and Vandesompele, Jo},
issn = {1474-760X},
journal = {Genome Biology},
number = {1},
publisher = {Springer Nature},
title = {Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data},
url = {http://dx.doi.org/10.1186/s13059-018-1466-5},
volume = {19},
year = {2018},
}
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