From the webpage:
BiologicalNetworks research environment enables integrative analysis of:
- Interaction networks, metabolic and signaling pathways together with transcriptomic, metabolomic and proteomic experiments data
- Transcriptional regulation modules (modular networks)
- Genomic sequences including gene regulatory regions (e.g. binding sites, promoter regions) and respective transcription factors, as well as NGS data
- Comparative genomics, homologous/orthologous genes and phylogenies
- 3D protein structures and ligand binding, small molecules and drugs
- Multiple ontologies including GeneOntology, Cell and Tissue types, Diseases, Anatomy and taxonomies
BiologicalNetworks backend database (IntegromeDB) integrates >1000 curated data sources (from the NAR list) for thousands of eukaryotic, prokaryotic and viral organisms and millions of public biomedical, biochemical, drug, disease and health-related web resources.
Correction: As of 3 July 2012, “IntegromeDB’s index reaches 1 Billion (biomedical resources links) milestone.”
IntegromeDB collects all the biomedical, biochemical, drug and disease related data available in the public domain and brings you the most relevant data for your search. It provides you with an integrative view on the genomic, proteomic, transcriptomic, genetic and functional information featuring gene/protein names, synonyms and alternative IDs, gene function, orthologies, gene expression, pathways and molecular (protein-protein, TF-gene, genetic, etc.) interactions, mutations and SNPs, disease relationships, drugs and compounds, and many other. Explore and enjoy!
Sounds a lot like a topic map doesn’t it?
One interesting feature is Inconsistency in the integrated data.
The data sets are available for download as RDF files.
How would you:
- Improve the consistency of integrated data?
- Enable crowd participation in curation of data?
- Enable the integration of data files into other data systems?