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Transactions on Computational Systems Biology II [electronic resource] / edited by Alexander Zelikovsky.

Contributor(s): Zelikovsky, Alexander [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Transactions on Computational Systems Biology: 3680Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005.Description: VIII, 156 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540316619.Subject(s): Computer science | Bioinformatics | Database management | Theory of Computation | Bioinformatics | Database ManagementAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access online
Contents:
What Makes the Arc-Preserving Subsequence Problem Hard? -- Profiling and Searching for RNA Pseudoknot Structures in Genomes -- A Class of New Kernels Based on High-Scored Pairs of k-Peptides for SVMs and Its Application for Prediction of Protein Subcellular Localization -- A Protein Structural Alphabet and Its Substitution Matrix CLESUM -- KXtractor: An Effective Biomedical Information Extraction Technique Based on Mixture Hidden Markov Models -- Phylogenetic Networks: Properties and Relationship to Trees and Clusters -- Minimum Parent-Offspring Recombination Haplotype Inference in Pedigrees -- Calculating Genomic Distances in Parallel Using OpenMP -- Improved Tag Set Design and Multiplexing Algorithms for Universal Arrays -- Virtual Gene: Using Correlations Between Genes to Select Informative Genes on Microarray Datasets.
In: Springer Nature eBook
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What Makes the Arc-Preserving Subsequence Problem Hard? -- Profiling and Searching for RNA Pseudoknot Structures in Genomes -- A Class of New Kernels Based on High-Scored Pairs of k-Peptides for SVMs and Its Application for Prediction of Protein Subcellular Localization -- A Protein Structural Alphabet and Its Substitution Matrix CLESUM -- KXtractor: An Effective Biomedical Information Extraction Technique Based on Mixture Hidden Markov Models -- Phylogenetic Networks: Properties and Relationship to Trees and Clusters -- Minimum Parent-Offspring Recombination Haplotype Inference in Pedigrees -- Calculating Genomic Distances in Parallel Using OpenMP -- Improved Tag Set Design and Multiplexing Algorithms for Universal Arrays -- Virtual Gene: Using Correlations Between Genes to Select Informative Genes on Microarray Datasets.

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