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Next-generation technologies and data analytical approaches for epigenomics

Klaas Mensaert (UGent) , Simon Denil (UGent) , Geert Trooskens (UGent) , Wim Van Criekinge (UGent) , Olivier Thas (UGent) and Tim De Meyer (UGent)
Author
Organization
Project
Bioinformatics: from nucleotids to networks (N2N)
Project
Bioinformatics: from nucleotids to networks (N2N)
Keywords
epigenetics, nucleosome positioning, DNA methylation, DNA hydroxymethylation, noncoding RNA, CHIP-SEQ DATA, DIFFERENTIAL EXPRESSION ANALYSIS, WIDE DNA METHYLATION, EMBRYONIC STEM-CELLS, FACTOR-BINDING SITES, GENE-EXPRESSION, HUMAN GENOME, RNA-SEQ, HIGH-THROUGHPUT, R PACKAGE, bioinformatics, histone modifications, sequencing, epigenomics, data analysis

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Citation

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

Chicago
Mensaert, Klaas, Simon Denil, Geert Trooskens, Wim Van Criekinge, Olivier Thas, and Tim De Meyer. 2014. “Next-generation Technologies and Data Analytical Approaches for Epigenomics.” Environmental and Molecular Mutagenesis 55 (3): 155–170.
APA
Mensaert, K., Denil, S., Trooskens, G., Van Criekinge, W., Thas, O., & De Meyer, T. (2014). Next-generation technologies and data analytical approaches for epigenomics. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS, 55(3), 155–170.
Vancouver
1.
Mensaert K, Denil S, Trooskens G, Van Criekinge W, Thas O, De Meyer T. Next-generation technologies and data analytical approaches for epigenomics. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. 2014;55(3):155–70.
MLA
Mensaert, Klaas, Simon Denil, Geert Trooskens, et al. “Next-generation Technologies and Data Analytical Approaches for Epigenomics.” ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 55.3 (2014): 155–170. Print.
@article{5333087,
  author       = {Mensaert, Klaas and Denil, Simon and Trooskens, Geert and Van Criekinge, Wim and Thas, Olivier and De Meyer, Tim},
  issn         = {0893-6692},
  journal      = {ENVIRONMENTAL AND MOLECULAR MUTAGENESIS},
  keyword      = {epigenetics,nucleosome positioning,DNA methylation,DNA hydroxymethylation,noncoding RNA,CHIP-SEQ DATA,DIFFERENTIAL EXPRESSION ANALYSIS,WIDE DNA METHYLATION,EMBRYONIC STEM-CELLS,FACTOR-BINDING SITES,GENE-EXPRESSION,HUMAN GENOME,RNA-SEQ,HIGH-THROUGHPUT,R PACKAGE,bioinformatics,histone modifications,sequencing,epigenomics,data analysis},
  language     = {eng},
  number       = {3},
  pages        = {155--170},
  title        = {Next-generation technologies and data analytical approaches for epigenomics},
  url          = {http://dx.doi.org/10.1002/em.21841},
  volume       = {55},
  year         = {2014},
}

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