Bioinformatics (Paperback, 2nd)

Preface…
Table of Contents…
Contributing Authors…

Part I Structure, Function, Pathways and Networks

1. 3D Computational Modeling of Proteins Using Sparse Paramagnetic NMR Data
Kala Bharath Pilla, Gottfried Otting, and Thomas Huber

2. Inferring Function from Homology
Tom C. Giles and Richard D. Emes

3. Inferring Functional Relationships from Conservation of Gene Order
Gabriel Moreno-Hagelsieb

4. Structural and Functional Annotation of Long Non-Coding RNAs
Martin A. Smith and John S. Mattick

5. Construction of Functional Gene Networks Using Phylogenetic Profiles
Junha Shin and Insuk Lee

6. Inferring Genome-Wide Interaction Networks
Gokmen Altay and Onur Mendi

7. Integrating Heterogeneous Datasets for Cancer Module Identification
A.K.M. Azad
8. Metabolic Pathway Mining
Jan M. Czarnecki and Adrian J. Shepherd

Part II Applications

9. Analysis of Genome-Wide Association Data
Allan F. McRae

10. Adjusting for Familial Relatedness in the Analysis of GWAS Data
Russell Thomson and Rebekah McWhirter

11. Analysis of Quantitative Trait Loci
David L. Duffy

12. High-Dimensional Profiling for Computational Diagnosis
Claudio Lottaz, Wolfram Gronwald, Rainer Spang, and Julia C. Engelmann

13. Molecular Similarity Concepts for Informatics Applications
Jurgen Bajorath

14. Compound Data Mining for Drug Discovery
Jurgen Bajorath

15. Studying Antibody Repertoires with Next-Generation Sequencing
William D. Lees and Adrian J. Shepherd

16. Using the QAPgrid Visualization Approach for Biomarker Identification of Cell-Specific Transcriptomic Signatures
Chloe Warren, Mario Inostroza-Ponta, and Pablo Moscato

17. Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques
Luke Mathieson, Alexandre Mendes, John Marsden, Jeffrey Pond, and Pablo Moscato

Part III Computational Methods

18. Inference Method for Developing Mathematical Models of Cell Signaling Pathways Using Proteomic Datasets
Tianhai Tian and Jiangning Song

19. Clustering
Geoffrey J. McLachlan, Richard W. Bean and Shu-Kay Ng

20. Parameterized Algorithmics for Finding Exact Solutions of NP-Hard Biological Problems
Falk Huffner, Christian Komusiewicz, Rolf Niedermeier, and Sebastian Wernicke

21. Information Visualization for Biological Data
Tobias Czauderna and Falk Schreiber