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MedBlast: searching articles related to a biological sequence
Qiang Tu1, Haixu Tang, Dafu Ding
1Key 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.
Unlabelled:
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.
Availability:
Both online server and the program are available freely at http://medblast.sibsnet.org
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