Encyclopedia of Bioinformatics and Computational Biology.
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam :
Elsevier,
2025.
|
| Edition: | 2nd ed. |
| Series: | Encyclopedia of Bioinformatics and Computational Biology.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- E978032395502701
- Cover
- ENCYCLOPEDIA OF BIOINFORMATICS ANDCOMPUTATIONAL BIOLOGY
- CONTENTS OF VOLUME 1
- LIST OF CONTRIBUTORS FOR VOLUME 1
- EDITOR BIOGRAPHIES
- PREFACE
- Introduction to Methods Section
- Algorithms Foundations
- Key Points
- Introduction
- Algorithms and Their Complexity
- Iterative Algorithms
- Recursive Algorithms: Divide and Conquer
- Data Structures
- Examples: Arrays and Trees
- Heap: a tree-based data structure
- Heapsort
- Dictionaries
- Data Structures in Bioinformatics
- Closing Remarks
- References
- Techniques for Designing Bioinformatics Algorithms
- Key Points
- Introduction
- Exhaustive Search
- Decrease and Conquer
- Transform and Conquer
- Divide and Conquer
- Randomized Algorithms
- Dynamic Programming
- Backtracking and Branch-and-Bound
- Greedy Algorithms
- Iterative Algorithms
- Conclusion
- References
- Algorithms for High Utility Pattern Mining
- Key Points
- Introduction
- Background
- Approaches for HUPM and its Variants
- Algorithms for HUPM
- Two-phase algorithms
- One-phase algorithms
- Variants of the classical HUPM problem
- Extending HUPM
- Extended Models for HUPM
- Application of the Extended Model to a Biomedical Context
- Conclusion
- Acknowledgment
- References
- Algorithms for Strings and Sequences: Pairwise Alignment
- Key Points
- Introduction
- Background
- Methodologies
- Global Alignment
- Local Alignment
- Extension to Affine gap Model
- Scoring Functions
- Algorithm Implementations
- Conclusion
- References
- Further Reading
- Algorithms for Strings and Sequences: Multiple Alignment
- Key Points
- Introduction
- Multiple Sequence Alignment Algorithms
- Tools for Multiple Sequence Alignment
- Conclusion
- References
- Algorithms for Structure Comparison and Analysis: Prediction of Structures of Proteins
- Key Points
- Introduction of the Topic
- Milestones of Protein Structure Prediction Before AI: Review of the Literature
- Prediction of Secondary Structures of the Proteins
- Prediction of Tertiary Structures of the Proteins
- Deep Learning: The Tale of the "Game Changer" in the Field of Protein Structure Prediction
- Prediction of Secondary Structures of the Proteins
- Prediction of Tertiary Structures of the Proteins
- State-of-the-Art of the Topic
- Prospect and Challenges
- References
- Relevant Websites
- Ab initio Protein Structure Prediction
- Introduction
- Ab initio Protein Structure Prediction
- Scoring Functions
- Physics-based functions
- Knowledge-based functions
- Physics and knowledge-based integrated functions
- Conformation Sampling
- Automation of Ab initio Structure Prediction
- Rosetta
- QUARK
- TOUCHSTONE
- Bhageerath
- ASTRO-FOLD
- RaptorX-FM
- RM2TS
- UniCon3D
- Accuracy Measures for Comparing Structures
- Root Mean Square Deviation (RMSD)
- Global Distance Test (GDT) Score