Discovering Biomolecular Mechanisms with Computational Biology
In this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biol...
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| Format: | Electronic eBook |
| Language: | English |
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Boston, MA :
Springer US,
2006.
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| Series: | Molecular Biology Intelligence Unit
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Prediction of Post-translational modifications from amino acid sequence: Problems, pitfalls, methodological hints
- Deriving Biological Function of Genome Information with Biomolecular Sequence and Structure Analysis
- Reliable and Specific Protein Function Prediction by Combining Homology with Genomic(s) Context
- Clues from Three-Dimensional Structure Analysis and Molecular Modelling
- Prediction of Protein Function
- Complementing Biomolecular Sequence Analysis with Text Mining in Scientific Articles
- Extracting Information for Meaningful Function Inference through Text-Mining
- Literature and Genome Data Mining for Prioritizing Disease-Associated Genes
- Mechanistic Predictions from the Analysis of Biomolecular Networks
- Model-Based Inference of Transcriptional Regulatory Mechanisms from DNA Microarray Data
- The Predictive Power of Molecular Network Modelling
- Mechanistic Predictions from the Analysis of Biomolecular Sequence Populations: Considering Evolution for Function Prediction
- Theory of Early Molecular Evolution
- Hitchhiking Mapping
- Understanding the Functional Importance of Human Single Nucleotide Polymorphisms
- Correlations between Quantitative Measures of Genome Evolution, Expression and Function.
