Bioinformatics: From Nucleic Acids and Proteins to Cell by Dietmar Schomburg, Uta Lessel PDF

By Dietmar Schomburg, Uta Lessel

ISBN-10: 3527300724

ISBN-13: 9783527300723

Bioinformatics, during this context the appliance of machine technological know-how to organic difficulties, has turn into an necessary a part of any learn within the biosciences. fast advancements in gene sequencing, constitution selection in addition to rational protein engineering and layout have made it beneficial for biologists, chemists, and machine scientists to channel their services into huge scale collaborative initiatives. This GBF Monograph supplies a common review of the most recent flexible actions in bioinformatics: * organic information Bases * DNA and RNA * Protein Sequences and constructions * From Molecules to mobilephone Metabolism The articles were chosen from contributions to a convention on Bioinformatics/Computer software within the Biosciences, held in October 1995 in Braunschweig on the German nationwide study middle for Biotechnology.

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Extra info for Bioinformatics: From Nucleic Acids and Proteins to Cell Metabolism

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If we trust all the models and algorithms involved, we may see this as an empirical study, although solely done on the computer. This allows a much more complete investigation than is possible zn uzuo or in urtro. The present paper concentrates on some of the algorithmic aspects of this investigation. W Griiner et a/. 60 The enormous volume of a completely tabulated sequence-to-structure map mandates a careful choice of algorithms and data structures. Chapter 2 introduces the abstract model of molecular evolution used in this study.

E. Fahlman and C. Lebiere. The cascade-correlation learning architecture. S. Touretzky, editor, Advances in Neural Information Processing systems 11, pages 524-532, Los Altos, California, 1990. Morgan Kaufmann. [GKDS92] R. Guigo, S. Knudsen, N. Drake and T. Smith. Prediction of gene structure. J. Mol. , 226, 141-157, 1992. [HR95] A. Hatzigeorgiou and M. Reczko. Recognition of protein coding regions and reading frames in dna using neural networks. In H. Szu, editor, World Congress on Neural Networks.

There are furthermore functional units such as promoters, splice sites, enhancers, and silencers. The latter may be up to 2500 bp away from the corresponding gene [7]. , various types of repeats [7, 26,281. Structures on such huge scales as 100,000 bp are well-known as chromosome bands reflecting variations of the G+C content. An example of pronounced fluctuations of the G+C content together with the gene density with an approximate period of 110,000 bp was provided by the recent sequencing of yeast chromosome 11 [29].

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Bioinformatics: From Nucleic Acids and Proteins to Cell Metabolism by Dietmar Schomburg, Uta Lessel

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