RAREVATOR statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left SNP detection SNV detection SNP/SNV annotation Indel detection chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

RAREVATOR specifications


Unique identifier OMICS_08308
Alternative name RAre REference VAriant annotaTOR
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Perl
Computer skills Advanced
Stability Stable
Maintained Yes


Add your version


  • person_outline Alberto Magi <>

Publication for RAre REference VAriant annotaTOR

RAREVATOR in publication

PMCID: 5769444
PMID: 29334895
DOI: 10.1186/s12864-018-4433-3

[…] reference variants in exome and genome experiments., magi et al. [] studied the count and annotation of “rare” reference alleles in 1000 genomes data and developed a specialized variant caller (rarevator). dewey et al. [] used a modified version of the human genome as a “major allele” population specific reference. these approaches have some limitations as we discuss later. we studied […]

To access a full list of publications, you will need to upgrade to our premium service.

RAREVATOR institution(s)
Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy; Laboratory of Integrative Systems Medicine (LISM), Institute of Informatics and Telematics and Institute of Clinical Physiology, National Research Council, Pisa, Italy; Medical Genetics Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy; Institute for Biomedical Technologies, National Research Council, Milan, Italy; Department of Neuroscience, Pharmacology and Child Health, University of Florence, Florence, Italy
RAREVATOR funding source(s)
Supported by Italian Ministry of Health, Young Investigators Award, Project GR-2009-1574072 and Project GR-2011-02352026 ’Detecting copy number variants from whole-exome sequencing data applied to acute myeloid leukemias’.


star_border star_border star_border star_border star_border
star star star star star

Be the first to review RAREVATOR