Links tagged with 'natural language processing'

Found 13 links

Displaying 13 links

Acromine DisambiguatorTool Content

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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.

This content is being maintained by pthompson.

ChilibotTool Content

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Chilibot searches the PubMed literature database based on specific relationships between proteins, genes, or keywords. The results are returned as a graph.

DECATool Content

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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.

This content is being maintained by pthompson.

GPSDBDatabase Content

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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.

HarvesterTool Content

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Harvester provides fast access to public bioinformatic databases and servers for human proteins. Results are returned as a single HTML page that contains the cached and cross-linked output from the following databases/servers: Uniprot/SWISSprot, ensEMBL, BLAST (NCBI), SOURCE, SMART, STRING, PSORT2, CDART, UniGene and SOSUI.

KOBASTool Content

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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).

Ontology Lookup ServiceTool Content

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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.

This content is being maintained by rglcote.

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