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About

geno5mC is a database and web-server to explore the associations between DNA methylation and the genotype. Using 58 publically available whole genome bisulfite sequencing datasets we determine sequence variation and methylation state at a single cytosine resolution by means of MethylExtract2. Statistically significant associations (FDR <= 0.05) are determined by means of a Fisher Exact test.

Developed by the Computational Epigenomics Group at University of Granada

How to cite

How to cite

    If you use geno5mC please cite:
  • geno5mC:a database to explore the association between genetic variation (SNPs) and CpG methylation in the human genome C. Gómez-Martín, E. Aparicio-Puerta, JM. Medina, Guillermo Barturen, JL. Oliver and M. Hackenberg Journal of Molecular Biology, 2020. (https://doi.org/10.1016/j.jmb.2020.11.008)

  • Please also consider citing:
  • MethylExtract: High-Quality methylation maps and SNV calling from whole genome bisulfite sequencing data. G. Barturen, A. Rueda, JL. Oliver and M.Hackenberg F1000Research 2014, 2:217 (https://doi.org/10.12688/f1000research.2-217.v2)
  • CpG traffic lights are markers of regulatory regions in human genome. A. Lioznova, A. Khamis, A. Artemov, E. Besedina, V. Ramensky, VB. Bajic, IV. Kulakovskiy and YA. Medvedeva BMC Genomics 20, 102 (2019). (https://doi.org/10.1186/s12864-018-5387-1

QUERY DB


  • By SNP ID
  • By Gene ID
  • By Trait
  • By Genomic Region

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Introduce a Genomic Region to view its associations

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