Handbook of Computational Molecular Biology
eBook - PDF

Handbook of Computational Molecular Biology

  1. 1,104 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Handbook of Computational Molecular Biology

About this book

The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology of

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Yes, you can access Handbook of Computational Molecular Biology by Srinivas Aluru in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2005
Print ISBN
9781584884064
eBook ISBN
9781420036275
Edition
1
Topic
Biological Sciences
Subtopic
Biology
Index
Biological Sciences

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Dedication
  5. Preface
  6. Acknowledgments
  7. About the Editor
  8. Contributors
  9. Contents
  10. Part I: Sequence Alignments
  11. Chapter 1: Pairwise Sequence Alignment
  12. Chapter 2: Spliced Alignment and Similarity-based Gene Recognition
  13. Chapter 3: Multiple Sequence Alignment
  14. Chapter 4: Parametric Sequence Alignment
  15. Part II: String Data Structures
  16. Chapter 5: Lookup Tables, Suffix Trees and Suffix Arrays
  17. Chapter 6: Suffix Tree Applications in Computational Biology
  18. Chapter 7: Enhanced Suffix Arrays and Applications
  19. Part III: Genome Assembly and EST Clustering
  20. Chapter 8: Computational Methods for Genome Assembly
  21. Chapter 9: Assembling the Human Genome
  22. Chapter 10: Comparative Methods for Sequence Assembly
  23. Chapter 11: Information Theoretic Approach to Genome Reconstruction
  24. Chapter 12: Expressed Sequence Tags: Clustering and Applications
  25. Chapter 13: Algorithms for Large-Scale Clustering and Assembly of Biological Sequence Data
  26. Part IV: Genome-Scale Computational Methods
  27. Chapter 14: Comparisons of Long Genomic Sequences: Algorithms and Applications
  28. Chapter 15: Chaining Algorithms and Applications in Comparative Genomics
  29. Chapter 16: Computational Analysis of Alternative Splicing
  30. Chapter 17: Human Genetic Linkage Analysis
  31. Chapter 18: Haplotype Inference
  32. Part V: Phylogenetics
  33. Chapter 19: An Overview of Phylogeny Reconstruction
  34. Chapter 20: Consensus Trees and Supertrees
  35. Chapter 21: Large-scale Phylogenetic Analysis
  36. Chapter 22: High-Performance Algorithms for Phylogeny Reconstruction with Maximum Parsimony
  37. Part VI: Microarrays and Gene Expression Analysis
  38. Chapter 23: Microarray Data: Annotation, Storage, Retrieval and Communication
  39. Chapter 24: Computational Methods for Microarray Design
  40. Chapter 25: Clustering Algorithms for Gene Expression Analysis
  41. Chapter 26: Biclustering Algorithms: A Survey
  42. Chapter 27: Identifying Gene Regulatory Networks from Gene Expression Data
  43. Chapter 28: Modeling and Analysis of Gene Networks Using Feedback Control Theory
  44. Part VII: Computational Structural Biology
  45. Chapter 29: Predicting Protein Secondary and Supersecondary Structure
  46. Chapter 30: Protein Structure Prediction with Lattice Models
  47. Chapter 31: Protein Structure Determination via NMR Spectral Data
  48. Chapter 32: Geometric and Signal Processing of Reconstructed 3D Maps of Molecular Complexes
  49. Chapter 33: In Search of Remote Homolog
  50. Chapter 34: Biomolecular Modeling using Parallel Supercomputers
  51. PartVIII: Bioinformatic Databases and Data Mining
  52. Chapter 35: String Search in External Memory: Data Structures and Algorithms
  53. Chapter 36: Index Structures for Approximate Matching in Sequence Databases
  54. Chapter 37: Algorithms for Motif Search
  55. Chapter 38: Data Mining in Computational Biology
  56. Index