1st Edition

Bioinformatics and Computational Biology Technological Advancements, Applications and Opportunities

    376 Pages 39 B/W Illustrations
    by Chapman & Hall

    376 Pages 39 B/W Illustrations
    by Chapman & Hall

    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


    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.