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Data Mining in Bioinformatics

8. 1. 1 Protein Subcellular Location The life sciences have entered the post-genome era where the focus of biologicalresearchhasshiftedfromgenomesequencestoproteinfunctionality. Withwhole-genomedraftsofmouseandhumaninhand,scientistsareputting more and more e?ort into obtaining information about the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wang, Jason T. L. (Editor ), Zaki, Mohammed J. (Editor ), Toivonen, Hannu (Editor ), Shasha, Dennis (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Advanced Information and Knowledge Processing,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Overview
  • to Data Mining in Bioinformatics
  • Survey of Biodata Analysis from a Data Mining Perspective
  • Sequence and Structure Alignment
  • AntiClustAl: Multiple Sequence Alignment by Antipole Clustering
  • RNA Structure Comparison and Alignment
  • Biological Data Mining
  • Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo
  • Gene Mapping by Pattern Discovery
  • Predicting Protein Folding Pathways
  • Data Mining Methods for a Systematics of Protein Subcellular Location
  • Mining Chemical Compounds
  • Biological Data Management
  • Phyloinformatics: Toward a Phylogenetic Database
  • Declarative and Efficient Querying on Protein Secondary Structures
  • Scalable Index Structures for Biological Data.