Structure-Based DNA-Binding Prediction and Design
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Publisher
Humana Press
Link
http://link.springer.com/content/pdf/10.1007/978-1-60761-753-2_4
Reference44 articles.
1. Tompa, M., Li, N., Bailey, T., Church, G., De Moor, B., Eskin, E., Favorov, A., Frith, M., Fu, Y., Kent, J., Makeev, V., Mironov, A., Noble, W., Pavesi, G., Pesole, G., Régnier, M., Simonis, N., Sinha, S., Thijs, G., van Helden, J., Vandenbogaert, M., Weng, Z., Workman, C., Ye, C., and Zhu, Z. (2005) Assessing computational tools for the discovery of transcription factor binding sites. Nat Biotechnol. 23, 137–144.
2. Bulyk, M.L. (2003) Computational prediction of transcription-factor binding site locations. Genome Biol. 5, 201.
3. Roulet, E., Busso, S., Camargo, A.A., Simpson, A.J., Mermod, N., and Bucher, P. (2002) High-throughput SELEX SAGE method for quantitative modeling of transcription-factor binding sites. Nat Biotechnol. 20, 831–835.
4. Meng, X., Brodsky, M.H., and Wolfe, S.A. (2005) A bacterial one-hybrid system for determining the DNA-binding specificity of transcription factors. Nat Biotechnol. 23, 988–994.
5. Berger, M.F., Philippakis, A.A., Qureshi, A.M., He, F.S., Estep, P.W., 3rd, and Bulyk, M.L. (2006) Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities. Nat Biotechnol. 24, 1429–1435.
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