1st Edition
Bioinformatics and Computational Biology Technological Advancements, Applications and Opportunities
Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions.
The book offers comprehensive coverage of the most essential and emerging topics:
- Cloud-based monitoring of bioinformatics multivariate data with cloud platforms
- Machine learning and deep learning in bioinformatics
- Quantum machine learning for biological applications
- Integrating machine learning strategies with multiomics to augment prognosis in chronic diseases
- Biomedical engineering
- Next generation sequencing techniques and applications
- Computational systems biology and molecular evolution
While other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension.
Chapter 1. Design and analysis of algorithms in computational biology
Saumya Tyagi, Vinamrata Sharma and Tiratha Raj Singh
Chapter 2. Sequence-based algorithms in Computational Biology
Ashwani Kumar, Navnit Kumar Mishra, Utkarsh Raj, Tiratha Raj Singh
Chapter 3. Structure-based algorithms in Computational Biology
Navnit Kumar Mishra, Ashwani Kumar, Utkarsh Raj, Tiratha Raj Singh
Chapter 4. Exact heuristics and other algorithms in computational biology
Shubhendra Singh Chauhan and Shikha Mittal
Chapter 5. Cloud Based Monitoring of Bioinformatics Multivariate Data with Cloud Platforms
Ravi Shankar Jha, Pradeep Singh Rawat, Hemraj Saini
Chapter 6. Machine learning and deep learning in Bioinformatics
Swati Paliwal, Ashish Sharma, Smita Jain and Swapnil Sharma
Chapter 7. Quantum Machine Learning for Biological Applications
Anushri Vijay, Harshita Bhargava, Astha Pareek, Prashanth Suravajhala and Amita Sharma
Chapter 8. Integrating Machine learning strategies with multiomics to augment prognosis of chronic diseases
Aishwarya S and Gunasekaran K
Chapter 9. Deep learning piloted drug design: An advantageous alliance
Palak Singhal, Himanshu Bansal, Shweta Kumari and Sahil Jain
Chapter 10. Drug Discovery by Deep Learning and Virtual Screening: Review and Case Study
Tiago Alves de Oliveira, Alisson Marques da Silva, Eduardo Habib Bechelane Maia, Moacyr Comar Junior, Alex Gutterres Taranto
Chapter 11. Gene regulation, DNA and RNA structure and sequencing
Neetu Verma, Deepa Bhatt, Laxmi Kirola
Chapter 12. Computational prediction of RNA binding proteins: features and models
Upendra Kumar Pradhan and Prabina Kumar Meher
Chapter 13. Fundamental and best practices for protein annotations
Tiratha Raj Singh and Prashanth Suravajhala
Chapter 14. Microarray Data Analysis: Methods and Applications
Arvind Kumar Yadav, Ajay Kumar, Ankita Singh, Anil Kant, Tiratha Raj Singh
Chapter 15. Tools and Techniques in Structural Bioinformatics
Alex Gutterres Taranto and Moacyr Comar Junior
Chapter 16. A Streamline to New face of Drug Discovery by Protein-Protein
and Protein-Nucleic Acid Interactions
Madhana Priya N, Thirumal Kumar D, Nivedha K, Ananthi V and Magesh R
Chapter 17. From Proteins to Networks: Assembly, Interpretation, and Advances
Shishir K Gupta, Rashmi Minocha, Aman Akash, Samiya Parkar, Leyla Sirkinti, Prithivi Jung, Thapa, Anna Almasi, Johannes Balkenhol, Özge Osmanoglu, Aparna Pottikkadavath,
Mugdha Srivastava, Thomas Dandekar
Chapter 18. Higher order organization in biological systems: an introduction
Vikram Singh, Vikram Singh
Chapter 19. Advancement and applications of biomedical engineering in human health care
Dinata Roy and Piyush Baindara
Chapter 20. Clinical Trials in the Realm of Health Informatics
Laxmi N Chavali, Harshita Bhargava, Amita Sharma, Prashanth Suravajhala and Renuka Suravajhala
Chapter 21. Application of genomics in Novel Microbial species Identification
Lipika Das, Megha Chaudhary, Deepika Bhardwaj, Sunita Verma, Praveenya Tirunagari, Sushanta Deb
Chapter 22. Next Generation Sequencing Data Analysis
Jyotika Bhati, Himanshu Avashthi, Divya Chauhan and Shikha Mittal
Chapter 23. Computational Molecular Evolution: A Detailed View of Phylogenetic Methods
Vinamrata Sharma, Saumya Tyagi and Tiratha Raj Singh
Chapter 24. Exploring Multifaceted Applications of Bioinformatics: An Overview
A. Saran, A. Chandra, S. Jain, K. Pareek, S. Paliwal, S. Sharma
Chapter 25. Industrial and Biopharmaceutical Research in Bioinformatics
S. Padma
Chapter 26. Biotechnological, Agriculture, Industrial and Biopharmaceutical Research
in Bioinformatics
Shailja Singhal, Utsang Kumar, Megha Katare Pandey, Rekha Khandi
Biography
Tiratha Raj Singh is a Professor of Bioinformatics in the department of Biotechnology and Bioinformatics, Jaypee University of Information Technology (JUIT), Waknaghat, Solan, H.P. His research interests are various domains of Bioinformatics/Computational Biology, Computational Genomics and Systems Biology.
Hemraj Saini is currently works as a Professor in the Department of Computer Science & Engineering, DIET, Dehradun. Earlier he was an Associate Professor in Jaypee University of Information Technology, Waknaghat. His research areas include: Information Security, Cyber Security, Edge Computing and Cloud Computing. He has published more than 100 research papers in international and national journals and conferences.
Moacyr Comar Junior is a professor at the Institute of Chemistry of the Federal University of Uberlândia. His research interests include theoretical and physico-chemistry of macromolecules and colloids. He has published numerous journal articles.
