title: Gene-L'EXPO: a tool to extract knowledge From transcriptomes and find 'Literature-Sparse' relationships between genes and tissues.
abstract: The increasing volume and diversity of transcriptome data in the public domain offer an opportunity to advance new questions and hypotheses. We anticipate that tools that can visualize the gap in the distribution of information between the scientific literature and actual data would prompt such questions. We focused on the roles played by various genes in tissues, and have developed a database that contrasts information on gene expression in tissues with PubMed text and transcriptome data. Data pairs of tissues and the genes that might be expressed there were automatically extracted from text with vocabularies for the genes and tissues. The anatomical categories of various expressed sequence tag (EST) libraries were also automatically determined. These types of information were linked using the hierarchical structure of the Metathesaurus in UMLS.
authors.affiliation: Toho University, Funabashi, Japan.
authors.forename: Teruyoshi
authors.initials: T
authors.lastname: Hishiki
authors.forename: Issei
authors.initials: I
authors.lastname: Tamada
authors.forename: Kousaku
authors.initials: K
authors.lastname: Okubo
mesh_terms: D001185:Artificial Intelligence; D003628:Database Management Systems; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D009323:Natural Language Processing; D010506:Periodicals as Topic; D011506:Proteins / Q000502:physiology*; D012984:Software; D014781:Viscera / Q000502:physiology*
chemical_list: D011506:Proteins