Bioinformatics Genes, Proteins and Computers

The Advanced Text series is designed for students taking advanced-level courses, including upper-level undergraduates and graduate students. Titles in this series will also be invaluable to researchers new to a field, and to established researchers as a basic reference text.

Bioinformatics covers both the more traditional approaches to bioinformatics, including gene and protein sequence analysis and structure prediction, and more recent technologies such as datamining of transcriptomic and proteomic data to provide insights on cellular mechanisms and the causes of disease.

Bioinformatics, the use of computers to address biological questions, has become an essential tool in biological research. It is one of the critical keys needed to unlock the information encoded in the flood of data generated by genome, protein structure, transcriptome and proteome research.Bioinformatics: Genes, Proteins & Computers covers both the more traditional approaches to bioinformatics, including gene and protein sequence analysis and structure prediction, and more recent technologies such as datamining of transcriptomic and proteomic data to provide insights on cellular mechanisms and the causes of disease.

1. Molecular Evolution. 2. Gene Finding. 3. Sequence Comparison Methods. 4. Amino Acid Residue Conservation. 5. Function Prediction From Protein Sequence. 6. Protein Structure Comparison. 7. Protein Structure Classifications. 8. Comparative Modelling. 9. Protein Structure Prediction. 10. From Protein Structure to Function. 11. From Structure-Based Genome Annotation to Understanding Genes and Proteins. 12. Global Approaches for Studying Protein-Protein Interactions. 13. Predicting The Structure of Protein-Biomolecular Interactions. 14. Experimental Use of DNA Arrays. 15. Mining Gene Expression Data 16. Proteomics. 17. Data Management of Biological Information. 18. Internet Technologies for Bioinformatics.