Download e-book for iPad: Algorithms in Bioinformatics: 7th International Workshop, by Pavel A. Pevzner (auth.), Raffaele Giancarlo, Sridhar

By Pavel A. Pevzner (auth.), Raffaele Giancarlo, Sridhar Hannenhalli (eds.)

ISBN-10: 3540741259

ISBN-13: 9783540741251

This e-book constitutes the refereed lawsuits of the seventh overseas Workshop on Algorithms in Bioinformatics, WABI 2007, held in Philadelphia, PA, united states in September 2007.

The 38 revised complete papers awarded including the summary of a keynote speak have been rigorously reviewed and chosen from 133 submissions. All present problems with algorithms in bioinformatics are addressed, starting from mathematical instruments to experimental reports of approximation algorithms and experiences on major computational analyses. quite a few organic difficulties are handled, together with genetic mapping, series alignment and series research, phylogeny, comparative genomics, and protein constitution. additionally the papers characteristic high-performance computing methods to computationally not easy studying and optimization difficulties in bioinformatics and canopy equipment, software program and dataset repositories for improvement and checking out of such algorithms and their underlying models.

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Additional info for Algorithms in Bioinformatics: 7th International Workshop, WABI 2007, Philadelphia, PA, USA, September 8-9, 2007. Proceedings

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Biol. : Hiding behind hydrophobicity. transmembrane segments in mass spectrometry. J. Biol. Chem. : Conserved sequence motifs of olfactory receptor-like proteins may participate in upstream and downstream signal transduction. Receptors Channels 6(5), 401–413 (1999) 24 R. Varshavsky et al. : Increased coverage of protein families with the blocks database servers. Nucl. Acids Res. : Position-specific codon conservation in hypervariable gene families. : A family of gram-negative bacterial outer membrane factors that function in the export of proteins, carbohydrates, drugs and heavy metals from gram-negative bacteria.

Protein structures from distance inequalities. J. Mol. Biol. 231, 861–869 (1993) 5. : Unit disk graph recognition is NP-hard. Computational Geometry 9, 3–24 (1998) 6. : Progress in predicting interresidue contacts of proteins with neural networks and correlated mutations. Proteins 45(5), 157–162 (2001) 7. : Properties of intraglobular contacts in proteins: an approach to prediction of tertiary structure. In: System Sciences, vol. V, 1994. Proceedings of the Twenty-Seventh Hawaii International Conference on Biotechnology Computing, January 4-7, 1994, vol.

Varshavsky et al. groups seem ”easy” to predict in that they require few features to characterize them well. Nevertheless, when a given group was found to be ”easy”, then it was usually discovered by the FF method (or by using one of the predefined classes of features). On the other hand, single-wise feature selection (GREEDY) was prone to over-fitting and inferior to methods that consider the interplay between features and attempt to separate the training set in a holistic fashion (FF and BE). Therefore, it would seem wise to avoid such greedy methods that independently select features.

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Algorithms in Bioinformatics: 7th International Workshop, WABI 2007, Philadelphia, PA, USA, September 8-9, 2007. Proceedings by Pavel A. Pevzner (auth.), Raffaele Giancarlo, Sridhar Hannenhalli (eds.)

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