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Related References

  1. Altschul, S. F., Gish, W., Miller, W., Myers, E. W. and Lipman, D. J. 1990. Basic local alignment search tool. J. Mol. Biol. 215:403-410.
  2. Brendel, V. (1992) . PROSET :a fast procedure to creat non-redundant sets of protei sequences. Mathl. Comput. Modelling, 16, 37-43.
  3. Horn, F., Vriend, G. and Cohen FE. (2001)Collecting and harvesting biological data: the GPCRDB and NucleaRDB information systems. Nucleic Acids Res. 29, 346-9.
  4. Hua, S. and Sun, Z. (2001)Support vector machine approach for protein subcellular localization prediction. Bioinformatics. 17, 721-8.
  5. Joachims, T. (1999) Making large-Scale SVM Learning Practical. In: B Scholkopf and C Burges and A Smola, (eds) Advances in Kernel methods –support vector learning. MIIT Press, Cambridge massachusetts,London England.
  6. Laudet, V and Gronemeyer, H. (2002) The Nuclear Receptors Factsbook. Academic Press, London, 2002.
  7. Pearson, W.R. and Lipman, D. J. 1988. Improved tools for biological sequence comparison. Proc. Natl. Acad. Sci., USA 85:2444-2448.
  8. Robinson-Rechavi, M. and Laude, V. (2003). Bioinformatics of nuclear receptors. Methods Enzymol. 364, 95-118.
  9. Robinson-Rechavi, M., Escriva Garcia, H. and Laudet, V. (2003) The nuclear receptor superfamily. J Cell Sci. 116, 585-6.