Given a biomedical text, Acromine Disambiguator correctly predicts expanded full forms of acronoyms appearing in the text. As acronyms appearing in biomedical texts are often ambiguous, such a disambiguation process is important to ensure the correct interpretation of the text.
BioPortal is a web accessible open repository of biomedical ontologies. Users may browse, search and visualize ontologies, as well as participate in the evaluation and evolution of ontology reviews by adding notes, corrections, reviews, etc. Data from other sources such as GEO, ClinicalTrials.gov and ArrayExpress may also be integrated with the ontologies.
Chilibot searches the PubMed literature database based on specific relationships between proteins, genes, or keywords. The results are returned as a graph.
DECA is a species disambiguation system for biological named entities. The system will identify protein entities and disambiguate them according to species, by assigning NCBI Taxonomy organism IDs.
eTBLAST is a textual similarity search engine. This server can parse and summarize the results of an abstract similarity search to find appropriate journals for publication, authors with expertise in a given field, and documents similar to a submitted query.
Gene and Protein Synonym DataBase (GPSDB) is a collection of gene and protein names, organized by species that can be used to search for a given gene/protein name, retrieve all synonyms for this entity, and query Medline with a set of user-selected terms.
HUPO Proteomics Standards Initiative (PSI) provides data representation standards to facilitate the exchange, comparison and validation of proteomics data.
iHOP (Information Hyperlinked over Proteins) allows researchers to explore a network of gene and protein interactions based on published scientific literature. For each gene search, iHOP reports sentences from abstracts associating it with other genes, links out to full abstracts, and reports experimental evidence for the interactions, if available. You can also select sentences to create and visualize your own gene model.
KEGG Orthology-Based Annotation System (KOBAS) annotates sequences with KEGG Orthology terms and identifies the frequently occurring (or significantly enriched) pathways among the queried sequences compared against a background distribution. 5 pathway databases are used (KEGG Pathway, PID, BioCyc, Reactome, Panther) and 5 human databases (OMIM, KEGG Disease, FunDO, GAD, NHGRI GWAS).
MetaBioiME is a web resource to find novel homologs for known Commercially Useful Enzymes (CUEs) in metagenomic datasets and completed bacterial genomes.
The Ontology Lookup Service provides interactive and programmatic interfaces to query and browse a suite of biomedical ontologies and controlled vocabularies. Users can also navigate the relationships between terms and obtain additional metadata and annotations. Improvements in 2010 have made OLS easier to use, capture more annotations from source data and integrate into external applications.
The Open REGulatory ANNOtation database (ORegAnno) is a collection of literature-curated regulatory regions, transcription factor binding sites (TFBS) and regulatory mutations.