FACTA: a text search engine for finding associated biomedical concepts. Export

@article{citeulike:3211126, abstract = {FACTA is a text search engine for MEDLINE abstracts, which is designed particularly to help users browse biomedical concepts (e.g. genes/proteins, diseases, enzymes and chemical compounds) appearing in the documents retrieved by the query. The concepts are presented to the user in a tabular format and ranked based on the co-occurrence statistics. Unlike existing systems that provide similar functionality, FACTA pre-indexes not only the words but also the concepts mentioned in the documents, which enables the user to issue a flexible query (e.g. free keywords or Boolean combinations of keywords/concepts) and receive the results immediately even when the number of the documents that match the query is very large. The user can also view snippets from MEDLINE to get textual evidence of associations between the query terms and the concepts. The concept IDs and their names/synonyms for building the indexes were collected from several biomedical databases and thesauri, such as UniProt, BioThesaurus, UMLS, KEGG and DrugBank. AVAILABILITY: The system is available at http://www.nactem.ac.uk/software/facta/}, address = {School of Computer Science, The University of Manchester, UK.}, author = {Tsuruoka, Y. and Tsujii, J. and Ananiadou, S.}, citeulike-article-id = {3211126}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btn469}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/24/21/2559}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/18772154}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=18772154}, day = {1}, doi = {10.1093/bioinformatics/btn469}, issn = {1460-2059}, journal = {Bioinformatics (Oxford, England)}, keywords = {facta, refine, sophia-ananiadou, text-mining}, month = {November}, number = {21}, pages = {2559--2560}, posted-at = {2008-09-23 18:34:59}, priority = {2}, title = {FACTA: a text search engine for finding associated biomedical concepts.}, url = {http://dx.doi.org/10.1093/bioinformatics/btn469}, volume = {24}, year = {2008} }

TY - JOUR ID - citeulike:3211126 L3 - citeulike-article-id:3211126 N2 - FACTA is a text search engine for MEDLINE abstracts, which is designed particularly to help users browse biomedical concepts (e.g. genes/proteins, diseases, enzymes and chemical compounds) appearing in the documents retrieved by the query. The concepts are presented to the user in a tabular format and ranked based on the co-occurrence statistics. Unlike existing systems that provide similar functionality, FACTA pre-indexes not only the words but also the concepts mentioned in the documents, which enables the user to issue a flexible query (e.g. free keywords or Boolean combinations of keywords/concepts) and receive the results immediately even when the number of the documents that match the query is very large. The user can also view snippets from MEDLINE to get textual evidence of associations between the query terms and the concepts. The concept IDs and their names/synonyms for building the indexes were collected from several biomedical databases and thesauri, such as UniProt, BioThesaurus, UMLS, KEGG and DrugBank. AVAILABILITY: The system is available at http://www.nactem.ac.uk/software/facta/ IS - 21 JF - Bioinformatics (Oxford, England) SN - 1460-2059 AD - School of Computer Science, The University of Manchester, UK. EP - 2560 TI - FACTA: a text search engine for finding associated biomedical concepts. VL - 24 SP - 2559 KW - facta KW - refine KW - sophia-ananiadou KW - text-mining AU - Tsuruoka, Y AU - Tsujii, J AU - Ananiadou, S PY - 2008/11/01/ UR - http://dx.doi.org/10.1093/bioinformatics/btn469 ER -