For better experience, turn on JavaScript!



CERENKOV is a tool for the identification of functional noncoding single nucleotide polymorphism (SNP) in loci identified by genome-wide association studies (GWAS). The CERENKOV algorithm uses data-space geometric features and the xgboost classifier.


Molecular genetics, Genetic variation, DNA polymorphism


  • Operation: Nucleic acid sequence feature detection, SNP detection
  • Software interface: Command-line interface, R package
  • Language: R
  • Operating system: Linux
  • License: Apache License 2.0
  • Cost: Free
  • Version name: -
  • Credit: The Medical Research Foundation of Oregon, Oregon State University, the PhRMA Foundation, the National Science Foundation.
  • Contact: yaoyao _at_ | liuzhen _at_ | weiq _at_ | stephen.ramsey _at_ | yaoyao _at_
  • Collection: -


Yao Y, Liu Z, Wei Q, Ramsey SA "CERENKOV2: improved detection of functional noncoding SNPs using data-space geometric features." BMC Bioinformatics 2019; 20(1):63
PMID: 30727967
PMCID: PMC6364436

Download and documentation

If you find errors, please report here.