Problem Solving Handbook in Computational Biology and Bioinformatics [recurso electrónico] / edited by Lenwood S. Heath, Naren Ramakrishnan.

Por: Heath, Lenwood S [editor.]Colaborador(es): Ramakrishnan, Naren [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoEditor: Boston, MA : Springer US, 2011Descripción: XVII, 347 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780387097602Tema(s): Computer science | Computer software | Bioinformatics | Computer Science | Computational Biology/Bioinformatics | Algorithm Analysis and Problem Complexity | BioinformaticsFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 570.285 Clasificación LoC:QH324.2-324.25Recursos en línea: Libro electrónicoTexto
Contenidos:
Preface -- Pairwise Sequence Alignment -- Sequence and Sequence Alignment Statistics -- Practical Multiple Sequence Alignment -- Phylogenetic Trees from Sequences -- Phylogenetic Networks -- Modern BLAST Programs -- Stochastic Calculus and Stochastic Simulation -- Genomic Sequence Comparison -- Genome Rearrangements -- Population Genetics Data Analysis -- Genome Wide Association Studies -- Practical Implications of Coalescent Theory -- Networks in Computational Systems Biology -- Practical Use of the Gene Ontology -- Techniques for Protein Structure -- Microarray Experiment Statistics -- Reasoning with Protein Contact Maps -- Identifying Modules in Protein-Protein Interaction Networks -- Motifs for Transcriptional Regulation -- Time Course Analysis -- Computational Simulation of Biochemical Networks -- Biomedical Data Integration -- Functional Annotation and Discovery -- Matrix and Tensor Decompositions -- Text Processing and Mining -- Formal Logics -- Index.
En: Springer eBooksResumen: Bioinformatics is growing by leaps and bounds; theories/algorithms/statistical techniques are constantly evolving. Nevertheless, a core body of algorithmic ideas have emerged and researchers are beginning to adopt a "problem solving" approach to bioinformatics, wherein they use solutions to well-abstracted problems as building blocks to solve larger scope problems. Problem Solving Handbook for Computational Biology and Bioinformatics is an edited volume contributed by world renowned leaders in this field. This comprehensive handbook with problem solving emphasis, covers all relevant areas of computational biology and bioinformatics. Web resources and related themes are highlighted at every opportunity in this central easy-to-read reference. Designed for advanced-level students, researchers and professors in computer science and bioengineering as a reference or secondary text, this handbook is also suitable for professionals working in this industry.
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Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos QH324.2 -324.25 (Browse shelf(Abre debajo)) 1 No para préstamo 370179-2001

Preface -- Pairwise Sequence Alignment -- Sequence and Sequence Alignment Statistics -- Practical Multiple Sequence Alignment -- Phylogenetic Trees from Sequences -- Phylogenetic Networks -- Modern BLAST Programs -- Stochastic Calculus and Stochastic Simulation -- Genomic Sequence Comparison -- Genome Rearrangements -- Population Genetics Data Analysis -- Genome Wide Association Studies -- Practical Implications of Coalescent Theory -- Networks in Computational Systems Biology -- Practical Use of the Gene Ontology -- Techniques for Protein Structure -- Microarray Experiment Statistics -- Reasoning with Protein Contact Maps -- Identifying Modules in Protein-Protein Interaction Networks -- Motifs for Transcriptional Regulation -- Time Course Analysis -- Computational Simulation of Biochemical Networks -- Biomedical Data Integration -- Functional Annotation and Discovery -- Matrix and Tensor Decompositions -- Text Processing and Mining -- Formal Logics -- Index.

Bioinformatics is growing by leaps and bounds; theories/algorithms/statistical techniques are constantly evolving. Nevertheless, a core body of algorithmic ideas have emerged and researchers are beginning to adopt a "problem solving" approach to bioinformatics, wherein they use solutions to well-abstracted problems as building blocks to solve larger scope problems. Problem Solving Handbook for Computational Biology and Bioinformatics is an edited volume contributed by world renowned leaders in this field. This comprehensive handbook with problem solving emphasis, covers all relevant areas of computational biology and bioinformatics. Web resources and related themes are highlighted at every opportunity in this central easy-to-read reference. Designed for advanced-level students, researchers and professors in computer science and bioengineering as a reference or secondary text, this handbook is also suitable for professionals working in this industry.

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