ZINB-WaVE specifications


Unique identifier OMICS_17153
Alternative name ZINB-WaVE Zinger
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes




No version available


  • person_outline Jean-Philippe Vert
  • person_outline Lieven Clement

Publications for ZINB-WaVE

ZINB-WaVE institution(s)
Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY, USA; Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, USA; Laboratoire de Probabilités et Modèles Aléatoires, Université Paris Diderot, Paris, France; Department of Statistics, University of California, Berkeley, CA, USA; MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, Paris, France; Institut Curie, Paris, France; INSERM U900, Paris, France; Ecole Normale Supérieure, Department of Mathematics and Applications, Paris, France
ZINB-WaVE funding source(s)
This work was supported by the National Institutes of Health BRAIN Initiative (grant U01 MH105979), the French National Research Agency (grant ABS4NGS ANR-11-BINF-0001), the European Research Council (grant ERC-SMAC- 280032), the Miller Institute for Basic Research in Science, and the Fulbright Foundation.

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