DIVERGENOME: a bioinformatics platform to assist population genetics and genetic epidemiology studies

Genet Epidemiol. 2012 May;36(4):360-7. doi: 10.1002/gepi.21629. Epub 2012 Apr 16.


Large-scale genomics initiatives such as the HapMap project and the 1000-genomes rely on powerful bioinformatics support to assist data production and analysis. Contrastingly, few bioinformatics platforms oriented to smaller research groups exist to store, handle, share, and integrate data from different sources, as well as to assist these scientists to perform their analyses efficiently. We developed such a bioinformatics platform, DIVERGENOME, to assist population genetics and genetic epidemiology studies performed by small- to medium-sized research groups. The platform is composed of two integrated components, a relational database (DIVERGENOMEdb), and a set of tools to convert data formats as required by popular software in population genetics and genetic epidemiology (DIVERGENOMEtools). In DIVERGENOMEdb, information on genotypes, polymorphism, laboratory protocols, individuals, populations, and phenotypes is organized in projects. These can be queried according to permissions. Here, we validated DIVERGENOME through a use case regarding the analysis of SLC2A4 genetic diversity in human populations. DIVERGENOME, with its intuitive Web interface and automatic data loading capability, facilitates its use by individuals without bioinformatics background, allowing complex queries to be easily interrogated and straightforward data format conversions (not available in similar platforms). DIVERGENOME is open source, freely available, and can be accessed online (pggenetica.icb.ufmg.br/divergenome) or hosted locally.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Automation
  • Brazil
  • Computational Biology / methods*
  • Databases, Genetic
  • Genetic Variation
  • Genetics, Population
  • Genome, Human
  • Genome-Wide Association Study
  • Glucose Transporter Type 4 / genetics
  • Humans
  • Internet
  • Molecular Epidemiology*
  • Phenotype
  • Software


  • Glucose Transporter Type 4
  • SLC2A4 protein, human