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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2005.
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Σειρά: | Advanced Information and Knowledge Processing
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.