Identifying Gene Specific Variations in Biomedical Text

Klinger R, Furlong LI, Friedrich CM, Mevissen HT, Fluck J, Sanz F, Hofmann-Apitius M (2007)
Journal of Bioinformatics and Computational Biology 5(06): 1277-1296.

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Klinger R, Furlong LI, Friedrich CM, et al. Identifying Gene Specific Variations in Biomedical Text. Journal of Bioinformatics and Computational Biology. 2007;5(06):1277-1296.
Klinger, R., Furlong, L. I., Friedrich, C. M., Mevissen, H. T., Fluck, J., Sanz, F., & Hofmann-Apitius, M. (2007). Identifying Gene Specific Variations in Biomedical Text. Journal of Bioinformatics and Computational Biology, 5(06), 1277-1296. doi:10.1142/S0219720007003156
Klinger, R., Furlong, L. I., Friedrich, C. M., Mevissen, H. T., Fluck, J., Sanz, F., and Hofmann-Apitius, M. (2007). Identifying Gene Specific Variations in Biomedical Text. Journal of Bioinformatics and Computational Biology 5, 1277-1296.
Klinger, R., et al., 2007. Identifying Gene Specific Variations in Biomedical Text. Journal of Bioinformatics and Computational Biology, 5(06), p 1277-1296.
R. Klinger, et al., “Identifying Gene Specific Variations in Biomedical Text”, Journal of Bioinformatics and Computational Biology, vol. 5, 2007, pp. 1277-1296.
Klinger, R., Furlong, L.I., Friedrich, C.M., Mevissen, H.T., Fluck, J., Sanz, F., Hofmann-Apitius, M.: Identifying Gene Specific Variations in Biomedical Text. Journal of Bioinformatics and Computational Biology. 5, 1277-1296 (2007).
Klinger, Roman, Furlong, Laura I., Friedrich, Christoph M., Mevissen, Heinz Theodor, Fluck, Juliane, Sanz, Ferran, and Hofmann-Apitius, Martin. “Identifying Gene Specific Variations in Biomedical Text”. Journal of Bioinformatics and Computational Biology 5.06 (2007): 1277-1296.
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5 Citations in Europe PMC

Data provided by Europe PubMed Central.

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Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers.
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Improved mutation tagging with gene identifiers applied to membrane protein stability prediction.
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Knowledge environments representing molecular entities for the virtual physiological human.
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