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2015 ; 43
(W1
): W535-42
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
PolySearch2: a significantly improved text-mining system for discovering
associations between human diseases, genes, drugs, metabolites, toxins and more
#MMPMID25925572
Liu Y
; Liang Y
; Wishart D
Nucleic Acids Res
2015[Jul]; 43
(W1
): W535-42
PMID25925572
show ga
PolySearch2 (http://polysearch.ca) is an online text-mining system for
identifying relationships between biomedical entities such as human diseases,
genes, SNPs, proteins, drugs, metabolites, toxins, metabolic pathways, organs,
tissues, subcellular organelles, positive health effects, negative health
effects, drug actions, Gene Ontology terms, MeSH terms, ICD-10 medical codes,
biological taxonomies and chemical taxonomies. PolySearch2 supports a generalized
'Given X, find all associated Ys' query, where X and Y can be selected from the
aforementioned biomedical entities. An example query might be: 'Find all diseases
associated with Bisphenol A'. To find its answers, PolySearch2 searches for
associations against comprehensive collections of free-text collections,
including local versions of MEDLINE abstracts, PubMed Central full-text articles,
Wikipedia full-text articles and US Patent application abstracts. PolySearch2
also searches 14 widely used, text-rich biological databases such as UniProt,
DrugBank and Human Metabolome Database to improve its accuracy and coverage.
PolySearch2 maintains an extensive thesaurus of biological terms and exploits the
latest search engine technology to rapidly retrieve relevant articles and
databases records. PolySearch2 also generates, ranks and annotates associative
candidates and present results with relevancy statistics and highlighted key
sentences to facilitate user interpretation.