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Titre : Essentials of Bioinformatics : An Introduction for Undergraduates Type de document : texte imprimé Auteurs : Akansha Singh, Auteur Editeur : Delve Publishing Année de publication : 2024 Importance : 217 pages Format : 17 x 24 cm ISBN/ISSN/EAN : 978-1-77469-801-3 Note générale : Table of Contents
List of Figures
Abstract
Preface
Chapter 1: Elements of Biology
1.1 Introduction
1.2 Molecules of Life
1.3 Genes And Genomes
Chapter 2: History of Bioinformatics
2.1: Introduction
2.2 1950–1970: The Origins
2.3 1980–1990: Parallel Advances in Biology and Computer Science
2.4 1990–2000: Genomics, Structural Bioinformatics, and the Information Superhighway
2.5 2000–2010: High-throughput Bioinformatics
2.6 2010–today: Present and Future Perspectives
Chapter 3: Integral Component of Bioinformatics
3.1 Introduction
3.2. Computational Biology
3.3. Genomics
3.4. Proteomics
3.5. Pharmacogenomics
3.6. Pharmacogenetics
3.7. Cheminformatics
3.8. Structural Genomics or Structural Bioinformatics
3.9. Comparative Genomics
3.10. Biophysics
3.11 Biomedical Informatics/ Medical Informatics
3.12 Mathematical Biology
3.13. Computational Chemistry
3.14. Functional Genomics
3.15. Pharmacoinformatics
3.16. In Silico Adme-tox Prediction
3.17. Agroinformatics / Agricultural Informatics
Chapter 4: Types of Biological Data?
4.1. Genome Sequence Data.
4.2. Gene Variation Data
4.3 Gene Expression Data
4.4. Single-cell Data
4.5. Proteomics Data
4.6: Metabolomics Data
4.7 Epigenetics Data
Chapter 5: Tools for Dna Analysis
5.1 Introduction
5.2. Annotation
5.3. Similarity Searching
5.4. Molecular Evolution
Chapter 6: Tools for Rna Analysis
6.1 Introduction
6.2 Gene Expression Analysis
6.3. Rna Structure Prediction
Chapter 7: Tools for Protein Analysis
7.1 Introduction
7.2 Sequence Analysis
7.3 Structure Prediction of Proteins
Chapter 8: Bioinformatics Databases and Tools for Whole Genome Analysis
8.1. Introduction
8.2. The Concept of Data Storage
8.3. Approaches For the Storage of Data Using Bioinformatics-based Databases
8.4. Tools for Whole Genome Analysis
Chapter 9: Main Challenges in the Field of Bioinformatics
9.1. Introduction
9.2. Processing Large-scale Robust Genomic Data
9.3 Interpretation of the Functional Effect and the Impact of Genomic Variation
9.4 Integrating Systems and Data To Capture Complexity
9.5. Data Translation – Translating Data from one Format to Another
Chapter 10: Applications of Bioinformatics
10.1. Introduction
10.2. Using Bioinformatics in Agriculture
10.3. Enhance Soil Quality
10.4. Easily Accessible Ways
10.5. The Role of Bioinformatics in Modern Plant Breeding Systems
References
Index
Back CoverLangues : Anglais (eng) Catégories : Biologie Mots-clés : bioinformatic Bio-informatique les statistiques les principes fondamentaux les outils open-source les algorithmes de programmation Index. décimale : 570 - Biologie Résumé : Over the course of the last few decades, the incorporation of genetics, genomics, proteomics, and statistics into the field of bioinformatics has had a significant impact on both the field of biology and the field of medicine. The primary application for it is in assisting with the modeling, forecasting, and analysis of enormous amounts of multidimensional biological data utilizing the most recent and cutting-edge computational technologies. The majority of life science students and researchers do not have the skills necessary to make effective use of this sophisticated technology, which is why bioinformatics is not yet widely incorporated in academic courses despite the fact that it holds enormous promise. This book was written after realizing that there was a void in the market for a resource that could provide students and researchers with prior knowledge of the biosciences with a place to begin their studies. The book is an excellent resource that students and young professionals can use in their pursuit of knowledge on this ever-changing topic. Essentials of Bioinformatics : An Introduction for Undergraduates [texte imprimé] / Akansha Singh, Auteur . - Delve Publishing, 2024 . - 217 pages ; 17 x 24 cm.
ISBN : 978-1-77469-801-3
Table of Contents
List of Figures
Abstract
Preface
Chapter 1: Elements of Biology
1.1 Introduction
1.2 Molecules of Life
1.3 Genes And Genomes
Chapter 2: History of Bioinformatics
2.1: Introduction
2.2 1950–1970: The Origins
2.3 1980–1990: Parallel Advances in Biology and Computer Science
2.4 1990–2000: Genomics, Structural Bioinformatics, and the Information Superhighway
2.5 2000–2010: High-throughput Bioinformatics
2.6 2010–today: Present and Future Perspectives
Chapter 3: Integral Component of Bioinformatics
3.1 Introduction
3.2. Computational Biology
3.3. Genomics
3.4. Proteomics
3.5. Pharmacogenomics
3.6. Pharmacogenetics
3.7. Cheminformatics
3.8. Structural Genomics or Structural Bioinformatics
3.9. Comparative Genomics
3.10. Biophysics
3.11 Biomedical Informatics/ Medical Informatics
3.12 Mathematical Biology
3.13. Computational Chemistry
3.14. Functional Genomics
3.15. Pharmacoinformatics
3.16. In Silico Adme-tox Prediction
3.17. Agroinformatics / Agricultural Informatics
Chapter 4: Types of Biological Data?
4.1. Genome Sequence Data.
4.2. Gene Variation Data
4.3 Gene Expression Data
4.4. Single-cell Data
4.5. Proteomics Data
4.6: Metabolomics Data
4.7 Epigenetics Data
Chapter 5: Tools for Dna Analysis
5.1 Introduction
5.2. Annotation
5.3. Similarity Searching
5.4. Molecular Evolution
Chapter 6: Tools for Rna Analysis
6.1 Introduction
6.2 Gene Expression Analysis
6.3. Rna Structure Prediction
Chapter 7: Tools for Protein Analysis
7.1 Introduction
7.2 Sequence Analysis
7.3 Structure Prediction of Proteins
Chapter 8: Bioinformatics Databases and Tools for Whole Genome Analysis
8.1. Introduction
8.2. The Concept of Data Storage
8.3. Approaches For the Storage of Data Using Bioinformatics-based Databases
8.4. Tools for Whole Genome Analysis
Chapter 9: Main Challenges in the Field of Bioinformatics
9.1. Introduction
9.2. Processing Large-scale Robust Genomic Data
9.3 Interpretation of the Functional Effect and the Impact of Genomic Variation
9.4 Integrating Systems and Data To Capture Complexity
9.5. Data Translation – Translating Data from one Format to Another
Chapter 10: Applications of Bioinformatics
10.1. Introduction
10.2. Using Bioinformatics in Agriculture
10.3. Enhance Soil Quality
10.4. Easily Accessible Ways
10.5. The Role of Bioinformatics in Modern Plant Breeding Systems
References
Index
Back Cover
Langues : Anglais (eng)
Catégories : Biologie Mots-clés : bioinformatic Bio-informatique les statistiques les principes fondamentaux les outils open-source les algorithmes de programmation Index. décimale : 570 - Biologie Résumé : Over the course of the last few decades, the incorporation of genetics, genomics, proteomics, and statistics into the field of bioinformatics has had a significant impact on both the field of biology and the field of medicine. The primary application for it is in assisting with the modeling, forecasting, and analysis of enormous amounts of multidimensional biological data utilizing the most recent and cutting-edge computational technologies. The majority of life science students and researchers do not have the skills necessary to make effective use of this sophisticated technology, which is why bioinformatics is not yet widely incorporated in academic courses despite the fact that it holds enormous promise. This book was written after realizing that there was a void in the market for a resource that could provide students and researchers with prior knowledge of the biosciences with a place to begin their studies. The book is an excellent resource that students and young professionals can use in their pursuit of knowledge on this ever-changing topic. Réservation
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