Kirley M.'s A Cellular Genetic Algorithm with Disturbances: Optimisation PDF

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76. Zuker M. Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Res 2003;31:3406. 3 GRAPH THEORETICAL APPROACHES TO DELINEATE DYNAMICS OF BIOLOGICAL PROCESSES Teresa M. 1 INTRODUCTION Graphs are used in Computational Biology to model the relationships between biological entities. For example, experimentally determined protein interactions are commonly represented by a graph, the so-called protein interaction network, where proteins are nodes and every pair of interacting proteins is connected by an edge.

The Protein Data Bank: unifying the archive. Nucleic Acids Res 2002;30:245. 69. Wexler Y, Zilberstein CB, M. Ziv-Ukelson: A Study of accessible motifs and RNA folding complexity. p473. 70. Wilbur WJ, Lipman DJ. Rapid similarity searches of nucleic acid and protein data banks. Proc Natl Acad Sci USA 1983;80:726. 71. Xu H, Aurora R, Rose GD, White RH. Identifying two ancient enzymes in archaea using predicted secondary structure alignment. Nat Struct Biol 1999;6:750. 72. Ye Y, Godzik A. Flexible structure alignment by chaining aligned fragment pairs allowing twists.

J Mol Biol 1998;281:565. 15. Chao KM, Hardison RC, Miller W. Constrained sequence alignment. Bull Math Biol 1993;55:503. 16. Chiu DK, Kolodziejczak T. Inferring consensus structure from nucleic acid sequences. Comput Appl Biosci 1991;7:347. 17. Choi j, Cho H, Kim S. GAME: a simple and efficient whole genome alignment method using maximal exact match filtering. Comp Biol Chem 2005;29:244. 18. Clote P. An efficient algorithm to compute the landscape of locally optimal RNA secondary structures with respect to the Nussinov⣓Jacobson energy model.

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A Cellular Genetic Algorithm with Disturbances: Optimisation Using Dynamic Spatial Interactions by Kirley M.

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