The Genopolis Microarray Database
2007

The Genopolis Microarray Database

publication Evidence: moderate

Author Information

Author(s): Andrea Splendiani, Marco Brandizi, Gael Even, Ottavio Beretta, Norman Pavelka, Mattia Pelizzola, Manuel Mayhaus, Maria Foti, Giancarlo Mauri, Paola Ricciardi-Castagnoli

Primary Institution: University of Milano-Bicocca

Hypothesis

The Genopolis database aims to provide a collaborative resource for studying dendritic and macrophage cell functions and host-parasite interactions.

Conclusion

The Genopolis Database supports a community in building a common coherent knowledge base and analyze it, providing a uniform dataset on dendritic cells and macrophage differentiation.

Supporting Evidence

  • The Genopolis database allows for the dynamic definition of controlled vocabularies.
  • It provides an interactive user interface for data analysis.
  • The database supports the export of its content to public repositories.

Takeaway

The Genopolis Database helps scientists work together by sharing and analyzing data about immune cells, making it easier to understand how these cells function.

Methodology

The database allows users to store and analyze microarray data, providing features for controlled vocabularies and data visibility.

Digital Object Identifier (DOI)

10.1186/1471-2105-8-S1-S21

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication