Data Mining Techniques for the Life Sciences
Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the minds of researchers previously, the development of high-throughput technologies has caused the weight to increasingly shift to the problem of interpreting accumulated data in terms...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Totowa, NJ
Humana
2010, 2010
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| Edition: | 1st ed. 2010 |
| Series: | Methods in Molecular Biology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Databases
- Nucleic Acid Sequence and Structure Databases
- Genomic Databases and Resources at the National Center for Biotechnology Information
- Protein Sequence Databases
- Protein Structure Databases
- Protein Domain Architectures
- Thermodynamic Database for Proteins: Features and Applications
- Enzyme Databases
- Biomolecular Pathway Databases
- Databases of Protein–Protein Interactions and Complexes
- Data Mining Techniques
- Proximity Measures for Cluster Analysis
- Clustering Criteria and Algorithms
- Neural Networks
- A User’s Guide to Support Vector Machines
- Hidden Markov Models in Biology
- Database Annotations and Predictions
- Integrated Tools for Biomolecular Sequence-Based Function Prediction as Exemplified by the ANNOTATOR Software Environment
- Computational Methods for Ab Initio and Comparative Gene Finding
- Sequence and Structure Analysis of Noncoding RNAs
- Conformational Disorder
- Protein Secondary Structure Prediction
- Analysis and Prediction of Protein Quaternary Structure
- Prediction of Posttranslational Modification of Proteins from Their Amino Acid Sequence
- Protein Crystallizability