Neha Patil (Editor)

Model Organism Databases

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Model Organism Databases (MODs) are biological databases dedicated to the provision of in-depth biological data for intensively studied model organisms. MODs allow researchers to easily find background information on large sets of genes, plan experiments efficiently, combine their data with existing knowledge, and construct novel hypotheses. They allow users to analyse results and interpret datasets, and the data they generate are increasingly used to describe less well studied species. Where possible, MODs share common approaches to collect and represent biological information. For example, all MODs use the Gene Ontology to describe functions, processes and cellular locations of specific gene products. Projects also exist to enable software sharing for curation, visualization and querying between different MODs. Organismal diversity and varying user requirements however mean that MODs are often required to customize capture, display, and provision of data.

Types of data and services provided by model organism databases

Model organism databases generate, source and collate species-specific information integratively by combining expert knowledge with literature curation and bioinformatics.

The many services they provide biological research communities with include:

  • Genome sequence annotations
  • Protein/RNA sequence annotations
  • Functional curation of gene products
  • Gene ontology
  • Phenotypes
  • Protein modifications
  • Gene expression
  • Pathways
  • Anatomical information
  • Stock centres
  • References

    Model Organism Databases Wikipedia