图书简介
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
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 <
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