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By Liliana López Kleine, Víctor Andrés Vera Ruiz (auth.), Miguel P. Rocha, Florentino Fernández Riverola, Hagit Shatkay, Juan Manuel Corchado (eds.)

The fields of Bioinformatics and Computational Biology were becoming progressively over the past few years boosted by way of an expanding desire for computational suggestions that may successfully deal with the massive quantities of knowledge produced by means of the hot experimental innovations in Biology. This demands new algorithms and techniques from fields similar to information Integration, records, information Mining, desktop studying, Optimization, machine technology and synthetic Intelligence.

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Extra resources for Advances in Bioinformatics: 4th International Workshop on Practical Applications of Computational Biology and Bioinformatics 2010 (IWPACBB 2010)

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P. Rocha et al. ): IWPACBB 2010, AISC 74, pp. 33–41, 2010. com 34 R. Camacho et al. 3D structure. We refer the reader to Section 2 for a more detailed description of protein structure. To understand the high complexity of protein folding it is usual to follow a sequence of steps. One starts by identifying the sequence of amino acids (or residues) that compose the protein, the so-called primary structure; then we identify the secondary structures made of α-helices and β-sheet; and then we predict the tertiary structure or 3D shape.

P. Rocha et al. ): IWPACBB 2010, AISC 74, pp. 33–41, 2010. com 34 R. Camacho et al. 3D structure. We refer the reader to Section 2 for a more detailed description of protein structure. To understand the high complexity of protein folding it is usual to follow a sequence of steps. One starts by identifying the sequence of amino acids (or residues) that compose the protein, the so-called primary structure; then we identify the secondary structures made of α-helices and β-sheet; and then we predict the tertiary structure or 3D shape.

20, pp. 693–709. : An Adaptation Logic Framework for {J}ava-based Component Systems. : Intention, Plans and Practical Reason. : Model of experts for decision support in the diagnosis of leukemia patients. K. : Characterization and quantification of the return map of RR intervals by Pearson coefficient in patients with acute myocardial infarction. Autonomic Neuroscience 105(2), 145–152 (2003) A Comparative Study of Microarray Data Classification Methods Based on Ensemble Biological Relevant Gene Sets Miguel Reboiro-Jato, Daniel Glez-Peña, Juan Francisco Gálvez, Rosalía Laza Fidalgo, Fernando Díaz, and Florentino Fdez-Riverola 1 Abstract.

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