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Bioinformatics and RNA: A Practice-Based Approach [Kõva köide]

(G. B. Pant Engineering College, New Delhi, India), ,
  • Formaat: Hardback, 138 pages, kõrgus x laius: 234x156 mm, kaal: 344 g, 6 Tables, black and white; 65 Line drawings, black and white; 52 Halftones, black and white; 117 Illustrations, black and white
  • Sari: Innovations in Big Data and Machine Learning
  • Ilmumisaeg: 18-Aug-2021
  • Kirjastus: CRC Press
  • ISBN-10: 0367619091
  • ISBN-13: 9780367619091
Teised raamatud teemal:
  • Formaat: Hardback, 138 pages, kõrgus x laius: 234x156 mm, kaal: 344 g, 6 Tables, black and white; 65 Line drawings, black and white; 52 Halftones, black and white; 117 Illustrations, black and white
  • Sari: Innovations in Big Data and Machine Learning
  • Ilmumisaeg: 18-Aug-2021
  • Kirjastus: CRC Press
  • ISBN-10: 0367619091
  • ISBN-13: 9780367619091
Teised raamatud teemal:
"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"--

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA.

The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field.

FEATURES

  • Offers a broad introduction to the explosively growing new discipline of bioinformatics
  • Covers theoretical topics and computational algorithms
  • Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery
  • Discusses implementation of algorithms in DotNet Frameworks with code
  • Presents insights into the state of the art and recent advancements in bioinformatics

The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.



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.
Preface vii
Authors ix
Chapter 1 Introduction to Bioinformatics
1(16)
1.1 Introduction to Bioinformatics
1(3)
1.2 DNA, RNA and Protein Sequences
4(3)
1.3 Central Dogma of Molecular Biology
7(1)
1.4 The Folding Problem
7(2)
1.5 Genomics and Proteomics
9(8)
Chapter 2 Computational Biology
17(22)
2.1 Sequence Alignment
17(1)
2.2 Global Sequence Alignment
18(4)
2.3 Local Sequence Alignment
22(1)
2.4 Multiple Sequence Alignment
23(16)
Chapter 3 Phylogenetics
39(26)
3.1 Introduction to Phylogenetics
39(1)
3.2 Molecular Phylogenetics
40(1)
3.3 Phylogenetic Trees and Their Construction
41(1)
3.4 Distance Matrix Methods of Phylogenetic Tree Construction
42(8)
3.5 Maximum Likelihood -- Character-Based Method for Phylogenetic Tree Construction
50(15)
Chapter 4 Rna
65(12)
4.1 Structure of RNA
65(3)
4.2 Types of RNA
68(3)
4.3 Functions of RNA
71(6)
Chapter 5 Pseudoknot
77(18)
5.1 Definition
77(3)
5.2 Biological Significance of RNA Pseudoknot
80(2)
5.3 Representations of a Pseudoknot
82(2)
5.4 Types of Pseudoknots
84(11)
Chapter 6 Pseudoknot Prediction Techniques
95(12)
6.1 Dynamic Programming Technique
97(3)
6.2 Comparative Sequence Analysis Technique
100(1)
6.3 Heuristics
101(1)
6.4 Formal Grammar Technique
102(2)
6.5 Integer Programming Technique
104(1)
6.6 Inverse Folding Technique
104(3)
Chapter 7 Pseudoknot Grammar
107(10)
7.1 Chomsky Hierarchy of Grammars
107(2)
7.2 Context Free Grammar
109(1)
7.3 Parallel Communicating Grammar System
110(1)
7.4 Context Sensitive Grammar
111(1)
7.5 Pair Stochastic Tree Adjoining Grammar
112(2)
7.6 Multiple Context Free Grammar
114(1)
7.7 Path Controlled Grammar
114(3)
Chapter 8 New Areas of Bioinformatics
117(12)
8.1 Drug Target Identification
117(2)
8.2 Nutrigenomics
119(1)
8.3 Toxicogenomics
120(1)
8.4 BioTerrorism
121(8)
Glossary 129(2)
References 131(6)
Index 137
Dr. Dolly Sharma is an Associate Professor at Amity University, Noida. Her research areas are Bioinformatics and Grid Computing.

Dr. Shailendra Singh is a Professor in the Computer Science and Engineering Department at Punjab Engineering College (Deemed to be University), Chandigarh, India. His research areas are Artificial Intelligence and Bioinformatics.

Dr. Mamta Mittal is working in the Department of CSE at G. B. Pant Engineering College, Delhi. Her research areas are Deep Learning and Soft Computing.