Keywords:
RNA.
;
Electronic books.
Description / Table of Contents:
This book offers a unique balance between basic introductory knowledge of bioinformatics and the detailed study of algorithmic techniques. The book is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA.
Type of Medium:
Online Resource
Pages:
1 online resource (149 pages)
Edition:
1st ed.
ISBN:
9781000428339
Series Statement:
Innovations in Big Data and Machine Learning Series
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=6635561
Language:
English
Note:
Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Authors -- 1. Introduction to Bioinformatics -- 1 Introduction to Bioinformatics -- 1.1 Importance of Bioinformatics -- 1.2 DNA, RNA and Protein Sequences -- 1.2.1 DNA -- 1.2.2 RNA -- 1.2.3 Protein -- 1.3 Central Dogma of Molecular Biology -- 1.4 The Folding Problem -- 1.5 Genomics and Proteomics -- 1.5.1 Genomics -- 1.5.2 Proteomics -- Appendix -- 2. Computational Biology -- 2.1 Sequence Alignment -- 2.2 Global Sequence Alignment -- 2.3 Local Sequence Alignment -- 2.4 Multiple Sequence Alignment -- Appendix -- Appendix -- 3. Phylogenetics -- 3.1 Introduction to Phylogenetics -- 3.1.1 Rooted Phylogenetic Tree -- 3.1.2 Unrooted Phylogenetic Tree -- 3.2 Molecular Phylogenetics -- 3.3 Phylogenetic Trees and Their Construction -- 3.4 Distance Matrix Methods of Phylogenetic Tree Construction -- 3.4.1 Unweighted Pair Group Method with Arithmetic Mean (UPGMA) - Distance Matrix Method -- 3.4.2 Neighbor Joining Method - Distance Matrix Method -- 3.5 Maximum Likelihood - Character-Based Method for Phylogenetic Tree Construction -- Appendix -- 4. RNA -- 4.1 Structure of RNA -- 4.1.1 Primary Structure of RNA -- 4.1.2 Secondary Structure of RNA -- 4.1.3 Tertiary Structure of RNA -- 4.2 Types of RNA -- 4.3 Functions of RNA -- Appendix -- 5. Pseudoknot -- 5.1 Definition -- 5.1.1 Pseudoknot vs Knot -- 5.1.2 Example of Pseudoknot -- 5.2 Biological Significance of RNA Pseudoknot -- 5.3 Representations of a Pseudoknot -- 5.3.1 Planar Graph Representation -- 5.3.2 Circular Representation -- 5.3.3 Dot Bracket Representation -- 5.3.4 Arc Representation -- 5.4 Types of Pseudoknots -- 5.4.1 H-Type Pseudoknot -- 5.4.2 H-H Type Pseudoknot -- 5.4.3 H-L Type Pseudoknot -- 5.4.3.1 H-Lout Type Pseudoknot -- 5.4.3.2 H-Lin Type Pseudoknot -- 5.4.4 L-L Type Pseudoknot.
,
5.4.5 Kissing Hairpin Pseudoknot or H-H-H Type Pseudoknot -- 5.4.6 Three-Knot Pseudoknot -- 5.4.7 Closed Five-Chain Pseudoknot -- 5.4.8 Multiloop Pseudoknot -- 5.4.9 I-Type Pseudoknot -- 5.4.10 B-Type Pseudoknot -- Appendix -- 6. Pseudoknot Prediction Techniques -- 6.1 Dynamic Programming Technique -- 6.2 Comparative Sequence Analysis Technique -- 6.3 Heuristics -- 6.4 Formal Grammar Technique -- 6.5 Integer Programming Technique -- 6.6 Inverse Folding Technique -- Appendix -- 7. Pseudoknot Grammar -- 7.1 Chomsky Hierarchy of Grammars -- 7.2 Context Free Grammar -- 7.3 Parallel Communicating Grammar System -- 7.4 Context Sensitive Grammar -- 7.5 Pair Stochastic Tree Adjoining Grammar -- 7.5.1 Substitution -- 7.5.2 Adjunction -- 7.6 Multiple Context Free Grammar -- 7.7 Path Controlled Grammar -- Appendix -- 8. New Areas of Bioinformatics -- 8.1 Drug Target Identification -- 8.1.1 Target Identification and Validation -- 8.1.2 Tools for Target Identification and Validation -- 8.1.3 Target Validation -- 8.2 Nutrigenomics -- 8.2.1 Prospects and Applications of Nutrigenomics -- 8.3 Toxicogenomics -- 8.4 Bioterrorism -- 8.4.1 Category A Bioterrorism Agents -- 8.4.2 Category B Bioterrorism Agents -- 8.4.3 Category C Bioterrorism Agents -- 8.4.4 Why Are Biological Weapons or Bioterrorism Agents So Disruptive? -- 8.4.5 Effects of Biological Attack -- Appendix -- Glossary -- Important Databases -- References -- Index.
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