title: MedBlast: searching articles related to a biological sequence.
abstract: In the genomic era, researchers often want to know more information about a biological sequence by retrieving its related articles. However, there is no available tool yet to achieve conveniently this goal. Here we developed a new literature-mining tool MedBlast, which uses natural language processing techniques, to retrieve the related articles of a given sequence. An online server of this program is also provided.
  
  
  BACKGROUND
  Both online server and the program are available freely at http://medblast.sibsnet.org
authors.affiliation: Key Laboratory of Proteomics, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, People's Republic of China.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Tu
authors.forename: Haixu
authors.initials: H
authors.lastname: Tang
authors.forename: Dafu
authors.initials: D
authors.lastname: Ding
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D001483:Base Sequence; D003628:Database Management Systems; D016206:Databases, Bibliographic; D030541:Databases, Genetic; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE; D009317:National Library of Medicine (U.S.); D009323:Natural Language Processing; D010506:Periodicals as Topic; D016415:Sequence Alignment / Q000379:methods; D017421:Sequence Analysis / Q000379:methods; D012984:Software; D014481:United States; D018875:Vocabulary, Controlled