PVP specifications


Unique identifier OMICS_17773
Name PVP
Alternative name PhenomeNET Variant Predictor
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Java, Python
Computer skills Advanced
Version 2.0
Stability Stable
Maintained Yes


  • DeepPVP
  • OligoPVP



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  • person_outline Georgios Gkoutos <>
  • person_outline Maxat Kulmanov <>
  • person_outline Imane Boudellioua <>

Publications for PhenomeNET Variant Predictor

PVP institution(s)
King Abdullah University of Science and Technology, Computer, Electrical & Mathematical Sciences and Engineering Division, Computational Bioscience Research Center, Thuwal, Saudi Arabia; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK; University of Cambridge Metabolic Research Laboratories, Wellcome Trust—Medical Research Council, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, UK; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, Birmingham, UK; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK; Department of Physiology, Development & Neuroscience, University of Cambridge, Cambridge, UK
PVP funding source(s)
Funded by Wellcome Trust (Grant 100585/Z/12/Z) and the National Institute for Health Research Cambridge Biomedical Research Centre, the King Abdullah University of Science and Technology, the National Science Foundation (NSF grant number: IOS-1340112) and the European Commission H2020 (Grant Agreement No. 731075).

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