online databases
metaexplorer: Semantic Search engine
Metalife Semantic Search provides alternative approach to the conventional web database querying activities. It integrates multiple primary data sources into a single Knowledge Base with semantic data organization. These include GenBank, UniProt, PhenomicDB, NCBI Taxonomy, Entrez Gene, GO, PDB, Pfam, Enzyme, and RefSeq.
Relations between the data are established on the basis of a unified descriptive framework called ontology. Furthermore, new relations are inferred using the existing ones by defining relevant biological rules.
All this makes the Metalife Semantic Search extremely useful tool for performing efficient research inquiries. Find more at http://www.metaexplorer.com/
Relations between the data are established on the basis of a unified descriptive framework called ontology. Furthermore, new relations are inferred using the existing ones by defining relevant biological rules.
All this makes the Metalife Semantic Search extremely useful tool for performing efficient research inquiries. Find more at http://www.metaexplorer.com/
PhenomicDB: a multi-species genotype/phenotype database for comparative phenomics.
PhenomicDB is a multi-species genotype-phenotype database for comparative phenomics. The current release unites the data for many species from several different sources: MGI, OMIM, FlyBase, WormBase, MAtDB, ZFIN, flyrnai.org, Phenobank, and CYGD.
PhenomicDB is more than a mechanistic gathering of primary sources. Due to their semantic mapping and integration and the usage of HomoloGene as a source of orthologous data, PhenomicDB allows direct comparison within the groups of orthologous genes and their phenotypes. During semantic mapping process the information in PhenomicDB had to be generalized to some extent, but the provided hyperlinks to the original sources allow further data mining in-depth... Find more at http://www.phenomicdb.de/description.asp
PhenomicDB is more than a mechanistic gathering of primary sources. Due to their semantic mapping and integration and the usage of HomoloGene as a source of orthologous data, PhenomicDB allows direct comparison within the groups of orthologous genes and their phenotypes. During semantic mapping process the information in PhenomicDB had to be generalized to some extent, but the provided hyperlinks to the original sources allow further data mining in-depth... Find more at http://www.phenomicdb.de/description.asp
drug2gene: Assisting the discovery of new unpublished drug-gene relations
Drug2Gene is an integrative knowledge base unifying identified and reported relations (i.e. binding) between genes/proteins and drugs/compounds including varied bioactivity data. Profound and non-redundant data has been integrated by unifying and processing the information from 18 public data stores (NCBI Gene, HGNC, CHEBI, CHEMBL, NCBI PubChem, DrugBank, IUPHAR, MICAD, Uniprot, and many more).
Drug2Gene provides intuitive, flexible, and fast search engine supporting very precise and specific searches.
Drug2Gene offers possibility to flag and comment relations thus improving the quality and reliability of the database.
Drug2Gene allows data exports in TSV and XML formats thus facilitating further data processing and analyzes.
Drug2Gene allows import of new drug-gene relations, as well as updating the information of existing ones thus ensuring better project-specific contents.
Drug2Gene contains gene orthology information helping to discover potentially new yet unpublished drug-gene relations.
Hyperlinks to the original sources provide evidence to the reported relations, as well as options for more profound details examination and additional facts extraction.
For more information please visit http://www.drug2gene.com/help.aspx
Drug2Gene provides intuitive, flexible, and fast search engine supporting very precise and specific searches.
Drug2Gene offers possibility to flag and comment relations thus improving the quality and reliability of the database.
Drug2Gene allows data exports in TSV and XML formats thus facilitating further data processing and analyzes.
Drug2Gene allows import of new drug-gene relations, as well as updating the information of existing ones thus ensuring better project-specific contents.
Drug2Gene contains gene orthology information helping to discover potentially new yet unpublished drug-gene relations.
Hyperlinks to the original sources provide evidence to the reported relations, as well as options for more profound details examination and additional facts extraction.
For more information please visit http://www.drug2gene.com/help.aspx
