PRVCS specifications

Information


Unique identifier OMICS_12387
Name PRVCS
Alternative name Predicting regulatory variant with composite statistic
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input format VCF or ANNOVAR
Output format TEXT, VCF or ANNOVAR
Operating system Unix/Linux, Mac OS, Windows
Programming languages Java, Perl
Computer skills Advanced
Stability Stable
Requirements
Tabix
Maintained Yes

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Versioning


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Documentation


Maintainer


  • person_outline Junwen Wang

Publication for Predicting regulatory variant with composite statistic

PRVCS institution(s)
Department of Statistics, Harvard University, Cambridge, Boston, MA, USA; Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China; School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Department of Anaesthesiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Department of Psychiatry and Centre for Reproduction, Development and Growth, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Department of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ, USA; Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ, USA
PRVCS funding source(s)
Supported by startup funds from Mayo Clinic (Mayo Clinic Arizona and Center for Individualized Medicine), The National Institute of Health R01 GM113242-01 and Health and Medical Research Fund, Hong Kong SA, 01121436.

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