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  • Scott MS, Calafell SJ, Thomas DY and Hallett MT, Refining protein subcellular localization. PLoS Comput Biol. 2005 Nov;1(6):e66. Epub 2005 Nov 25. [Abstract]

  • Rey S, Gardy JL and Brinkman FS, Assessing the precision of high-throughput computational and laboratory approaches for the genome-wide identification of protein subcellular localization in bacteria. BMC Genomics. 2005 Nov 17;6:162. [Abstract]

  • Lei Z and Dai Y, An SVM-based system for predicting protein subnuclear localizations. BMC Bioinformatics. 2005 Dec 7;6:291. [Abstract]

  • Chou KC and Cai YD, Predicting protein localization in budding yeast. Bioinformatics. 2005 Apr 1;21(7):944-50. Epub 2004 Oct 28. [Abstract]

  • Xiao X, Shao S, Ding Y, Huang Z, and Chou KC, Using cellular automata images and pseudo amino acid composition to predict protein subcellular location. Amino Acids. 2005 Jul 28; [Abstract]

  • Guda C and Subramaniam S, TARGET: a new method for predicting protein subcellular localization in eukaryotes. Bioinformatics. 2005 Nov 1;21(21):3963-9. Epub 2005 Sep 6. [Abstract]

  • D. Sarda, G. H. Chua, K. B. Li and A. Krishnan, pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties. BMC Bioinformatics. 2005 Jun 17;6:152. [Abstract]

  • M. Bhasin, A. Garg and GP. Raghava, PSLpred: prediction of subcellular localization of bacterial proteins. Bioinformatics. 2005 May 15;21(10):2522-4. [Abstract]

  • M. Boden and J. Hawkins, Prediction of subcellular localization using sequence-biased recurrent networksBioinformatics. 2005 May 15;21(10):2279-86. [Abstract]

  • A. Garg, M. Bhasin, and GP. Raghava, Support vector machine-based method for subcellular localization of human proteins using amino acid compositions, their order, and similarity search. J Biol Chem. 2005 Apr 15;280(15):14427-32. [Abstract]

  • V. Atalay and r. Cetin-Atalay, Implicit motif distribution based hybrid computational kernel for sequence classification. Bioinformatics. 2005 Apr 15;21(8):1429-36. [Abstract]

  • R. Nair and B. Rost, Mimicking cellular sorting improves prediction of subcellular localization, J Mol Biol. 2005 Apr; 348(1):85-100. [Abstract]

  • Zhiyong Lu and Larry Hunter, GO MOLECULAR FUNCTION TERMS ARE PREDICTIVE OF SUBCELLULAR LOCALIZATION, Pac Symp Biocomput, 2005. [Abstract]

  • Stefan Maetschke, Michael Towsey, Mikael Boden, BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction, Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore

  • Jian Guo, Yuanlie Lin, Zhirong Sun, A novel method for protein subcellular localization: Combining residue-couple model and SVM Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore

  • Mikael Boden, John Hawkins, Detecting residues in targeting peptides, Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore

  • Garg A, Bhasin M, Raghava GP, SVM-based method for subcellular localization of human proteins using amino acid compositions, their order and similarity search, J Biol Chem. 2005 Jan 12; [Abstract]

  • Gardy JL, Laird MR, Chen F, Rey S, Walsh CJ, Ester M, Brinkman FS, PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis, Bioinformatics. 2005 Mar 1;21(5):617-23. [Abstract]