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...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London :
Springer London : Imprint: Springer,
2005.
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Edición: | 1st ed. 2005. |
Colección: | Advanced Information and Knowledge Processing,
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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.