The book presents the results of studies on selected problems (such as predictive model of transcription initiation and termination, protein recognition codes, protein structure prediction, feature selection for disease prediction, information retrieval from medical imaging) of Bioinformatics and Information Retrieval. Information Retrieval is one of the contemporary answers to new challenges in threat evaluation of composite systems. This book provides a practical course in computational data analysis suitable for students or researchers with no previous exposure to computer programming. It describes in detail the theoretical basis for statistical analysis techniques used throughout the textbook, from basic principles. It presents walk-throughs of data analysis tasks using different tools to help in taking decisions in healthcare management.
Author(s): Soumi Dutta, Saikat Gochhait
Publisher: Palgrave Macmillan
Year: 2022
Language: English
Pages: 166
City: Singapore
Contents
Editors and Contributors
About the Editors
Contributors
List of Figures
List of Tables
1 Bioinformatics Overviews
1 Background
2 History
3 Perspectives of Computer Science and Information Technology
4 Application of Bioinformatics
5 Conclusions and Future Prospects
References
2 Artificial Intelligence in Biological Sciences: A Brief Overview
1 Introduction
2 Basics of Machine Learning (ML)
2.1 Building Blocks of a Neural Network
3 How Do Neural Networks Learn?
4 Applications of AI in the Life Sciences
4.1 Using Deep Neural Networks to Understand the Biological Brain
4.2 AI in Medical Diagnosis
4.3 Decoding Protein Structure Using AI
4.4 AI in Ecology and Conservation Biology
5 Limitations of AI
5.1 Overfitting
5.2 Adversarial Examples
5.3 Data Bias
6 Conclusions
References
3 A Review of Recent Advances in Translational Bioinformatics and Systems Biomedicine
1 Introduction
2 Translational Bioinformatics
2.1 Categorising Translational Bioinformatics Research
3 Bioinformatics Interventions in Translational Research
3.1 Translational Biomedicine
3.2 Translational Clinical Research
3.3 Translational Stroke Research (TSR)
3.4 Translational Neuromedicine
3.5 Translational Oncology
3.6 Translational Imaging
3.7 Discovery Biology
3.8 Medical Biotechnology
3.9 Orthopaedic Transition
3.10 Translational Stem Cell Medicine
3.11 Translational Proteomics
3.12 Translational Neuroscience
3.13 Molecule Therapy
4 Advances in Translational Bioinformatics
5 Prospects of Translational Bioinformatics
5.1 Translational Genomics in Clinical Care
6 OMICs for Drug Repurposing and Discovery
7 Systems Biomedicine
7.1 Personalised Genomics
7.2 Genetic Testing
7.3 Genomic Testing for Individuals to Inform Health Care
7.4 Computational Health Informatics (CHI)
8 Related Work
8.1 The Ongoing Research Works Are Looking for:
8.2 Research Gap
8.3 Future Research Perspective
9 Conclusion
References
4 Application of Bioinformatics in Agricultural Pest Management: An Overview of the Evolving Technologies
1 Introduction
2 An Assessment of the Current State of Pest Control
3 Information Technology: Scope in Biological Sciences
4 Integrated Pest Management (IPM) Using Information and Communication Technologies (ICT)
5 Entomo-Informatics: A Prelude to the Concepts in Bioinformatics
6 Pest Control Decision Support System
7 Integration of Agricultural Systems and Pest Biology
8 Identification of the Target Protein and Its Structural Analysis
9 Target Pesticides and Their Virtual Screening
10 Computational Chemistry and Docking
11 Quantitative Structure–activity Relationship (QSAR)
12 Pest Management: Role of Mathematical Modelling
13 Advanced Strategies
14 Key Issues and Major Challenges and Their Solutions
15 Future Prospects
16 Conclusion
References
5 Application of Bioinformatics in Health Care and Medicine
1 Introduction
1.1 Major Challenges in Application of Bioinformatics
2 Bioinformatics and Secretome Analysis
3 Mass Spectrometry and Chemical Crosslinking Reagents
4 Bioinformatics and Software Product Line
4.1 Client Module
4.2 Core Module
5 Bioinformatics and Protein Kinase
6 Bioinformatics and miRNA
7 Clinical Bioinformatics and Cancer
8 COVID-19 Implications and Sustainable Development Goals
References
6 Information Retrieval in Bioinformatics: State of the Art and Challenges
1 Introduction
2 Literature
3 State of the Art
3.1 Information Retrieval
3.2 Text Categorization
3.3 IR in Biomedical-Informatics
4 Open Problems and Challenges
4.1 Abundant Amount of Information
4.2 Encoding/Preprocessing Techniques
4.3 Fundamental of Literature Retrieval and Mining Problems
4.4 Principles and Necessities for Further Standardization
4.5 Measurement of Existing Tools
5 Conclusion
References
7 Hybrid Support Vector Machine with Grey Wolf Optimization for Classifying Multivariate Data
1 Introduction
2 Literature Review
3 System Design
3.1 Support Vector Machine (SVM) Classifier:
3.2 Hybrid Support Vector Machine (SVM) with Grey Wolf Optimization (GWO)
4 Result and Discussion
5 Conclusion
References
8 Bioinformatics and Its Application in Computing Biological Data
1 Introduction
2 Goals
3 Relationship to Other Disciplines
4 Databases
4.1 The Use of Software and Tools
4.1.1 Bioinformatics Software that is Free and Open Source
4.1.2 Bioinformatics Workflow Management Systems
5 Applications of Bioinformatics
5.1 Microbial Genome Applications
5.1.1 Waste Cleanup
5.1.2 Biotechnology
5.1.3 Climate Change Studies
5.1.4 Bio-Weapon Creation
5.2 Medicines
5.2.1 Molecular Medicine
5.2.2 Preventative Medicine
5.2.3 Gene Therapy
5.2.4 Drug Development
5.2.5 Antibiotic Resistance
5.2.6 Evolutionary Studies
5.3 Agriculture
5.3.1 Development of Drought Resistant Varieties
5.3.2 Crop Improvement
5.3.3 Insect Resistance
5.3.4 Improve Nutritional Quality
5.4 Veterinary Science
6 Conclusion
References
Index
