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Low-frequency variant detection in viral populations using massively parallel sequencing data

Bie Verbist (UGent)
(2014)
Author
Promoter
(UGent) and (UGent)
Organization
Keywords
Viral Populations, Massively Parallel Sequencing, Variant Calling, Statistical genomics

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Citation

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

MLA
Verbist, Bie. “Low-frequency Variant Detection in Viral Populations Using Massively Parallel Sequencing Data.” 2014 : n. pag. Print.
APA
Verbist, Bie. (2014). Low-frequency variant detection in viral populations using massively parallel sequencing data. Ghent University. Faculty of Sciences, Ghent, Belgium.
Chicago author-date
Verbist, Bie. 2014. “Low-frequency Variant Detection in Viral Populations Using Massively Parallel Sequencing Data”. Ghent, Belgium: Ghent University. Faculty of Sciences.
Chicago author-date (all authors)
Verbist, Bie. 2014. “Low-frequency Variant Detection in Viral Populations Using Massively Parallel Sequencing Data”. Ghent, Belgium: Ghent University. Faculty of Sciences.
Vancouver
1.
Verbist B. Low-frequency variant detection in viral populations using massively parallel sequencing data. [Ghent, Belgium]: Ghent University. Faculty of Sciences; 2014.
IEEE
[1]
B. Verbist, “Low-frequency variant detection in viral populations using massively parallel sequencing data,” Ghent University. Faculty of Sciences, Ghent, Belgium, 2014.
@phdthesis{5769619,
  author       = {Verbist, Bie},
  isbn         = {9789461972460},
  keywords     = {Viral Populations,Massively Parallel Sequencing,Variant Calling,Statistical genomics},
  language     = {eng},
  pages        = {var. p.},
  publisher    = {Ghent University. Faculty of Sciences},
  school       = {Ghent University},
  title        = {Low-frequency variant detection in viral populations using massively parallel sequencing data},
  year         = {2014},
}