Génie statistics

info info

Citations per year


Tool usage distribution map

info info

Associated diseases


Popular tool citations

chevron_left Gene prioritization chevron_right
Want to access the full stats & trends on this tool?

Génie specifications


Unique identifier OMICS_04105
Name Génie
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Jean F. Fontaine

Publication for Génie

Génie citations


Candidate gene prioritization with Endeavour

Nucleic Acids Res
PMCID: 4987917
PMID: 27131783
DOI: 10.1093/nar/gkw365

[…] genes, and are therefore more suited for diseases of unknown etiology. These methods rely on disease relevant keywords, or on complementary disease specific experimental data sets. For instance, the Génie web server ranks genes using a text-mining approach that is fed with user-selected keywords and can be complemented with orthology information (). Alternatively, MetaRanker integrates multiple d […]


Dynamic software design for clinical exome and genome analyses: insights from bioinformaticians, clinical geneticists, and genetic counselors

PMCID: 4784553
PMID: 26117142
DOI: 10.1093/jamia/ocv053

[…] y to be accessed graphically (). Figure 6: Clinicians emphasized that while there are tools that offer online software applications to obtain candidate genes based upon keyword queries (e.g., MeSHOP, Genie, Ingenuity [http://www.ingenuity.com]), these capabilities are not consistently accessible to integrated WES/WGS analysis software and the output cannot be combined with exome data without addit […]


Finding pathway modulating genes from a novel Ontology Fingerprint derived gene network

Nucleic Acids Res
PMCID: 4191379
PMID: 25063300
DOI: 10.1093/nar/gku678

[…] ity of these approaches, such as the work by Jenssen et al. ()), infer gene–gene relationships by identifying the co-occurrence of two genes within the biomedical literature, with extensions, such as Génie (), in which comparative genomics approaches were employed. However, this approach is limited by the fact that 70% of PubMed abstracts only contain information about a single gene (based on a ge […]

Want to access the full list of citations?
Génie institution(s)
Max Delbrück Center for Molecular Medicine, Berlin, Germany

Génie reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review Génie