Bio-medical entity prioritisation based on literature with Semantic Web annotations
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
http://link.springer.com/content/pdf/10.1186/1753-6561-9-S5-A6.pdf
Reference6 articles.
1. Kobayashi N, Toyoda T: Statistical search on the Semantic Web. Bioinfom. 2008, 24 (7): 1002-1010. 10.1093/bioinformatics/btn054.
2. Masuya H, Yoshikawa S, Heida N, Toyoda T, Wakana S, Shiroishi T: Phenosite: a web database integrating the mouse phenotyping platform and the experimental procedures in mice. J Bioinform Comput Biol. 2007, 5: 1173-1191. 10.1142/S0219720007003168.
3. Makita Y, Kobayashi N, Yoshida Y, Doi K, Mochizuki Y, Nishikata K, Matsushima A, Takahashi S, Ishii M, Takatsuki T, Bhatia R, Khadbaatar Z, Watabe H, Masuya H, Toyoda T: PosMed: Ranking genes and bioresources based on Semantic Web Association Study. Nucleic Acids Res. 2013, 41 (Web Server): W109-W114.
4. PubAnnotation: Share your annotation in alignment with others. [ http://pubannotation.org/ ]
5. Eppig JT, Strivens M: Finding a mouse: the International Mouse Strain Resource (IMSR). Trends Genet. 1999, 15 (2): 81-82. 10.1016/S0168-9525(98)01665-5.
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