Bioinformatics: Sequences, Structures, Phylogeny

Description

This book provides a comprehensive overview of the concepts and approaches used for sequence, structure, and phylogenetic analysis. Starting with an introduction to the subject and intellectual property protection for bioinformatics, it guides readers through the latest sequencing technologies, sequence analysis, genomic variations, metagenomics, epigenomics, molecular evolution and phylogenetics, structural bioinformatics, protein folding, structure analysis and validation, drug discovery, reverse vaccinology, machine learning, application of R programming in biological data analysis, and the use of Linux in handling large data files. Front Matter ....Pages i-ix Intellectual Property Rights and Bioinformatics: An Introduction ( Shilpa, Umang Gupta)....Pages 1-14 Next-Generation Sequencing: Technology, Advancements, and Applications (Gourja Bansal, Kiran Narta, Manoj Ramesh Teltumbade)....Pages 15-46 Sequence Alignment (Benu Atri, Olivier Lichtarge)....Pages 47-69 Understanding Genomic Variations in the Context of Health and Disease: Annotation, Interpretation, and Challenges (Ankita Narang, Aniket Bhattacharya, Mitali Mukerji, Debasis Dash)....Pages 71-95 Metagenomics: Focusing on the Haystack (Indu Khatri, Meenakshi Anurag)....Pages 97-113 Computational Epigenomics and Its Application in Regulatory Genomics (Shalu Jhanwar)....Pages 115-139 Data Mining to Detect Common, Unique, and Polymorphic Simple Sequence Repeats (Aditi Kapil, C. K. Jha, Asheesh Shanker)....Pages 141-154 R-Programming for Genome-Wide Data Analysis (Arunima Shilpi, Shraddha Dubey)....Pages 155-171 Computational Approaches to Studying Molecular Phylogenetics (Benu Atri, Olivier Lichtarge)....Pages 173-190 Structural Bioinformatics: Life Through The 3D Glasses (Ankita Punetha, Payel Sarkar, Siddharth Nimkar, Himanshu Sharma, Yoganand KNR, Siranjeevi Nagaraj)....Pages 191-253 A Survey of the Structural Parameters Used for Computational Prediction of Protein Folding Process (Gulshan Khalique, Tambi Richa)....Pages 255-270 Quality Assessment of Protein Tertiary Structures: Past, Present, and Future (Ankita Singh, Rahul Kaushik, B. Jayaram)....Pages 271-288 Predicting Protein Function Using Homology-Based Methods (Swati Sinha, Birgit Eisenhaber, Andrew M. Lynn)....Pages 289-305 Drug Discovery: An In Silico Approach (Sukriti Goyal, Salma Jamal, Abhinav Grover, Asheesh Shanker)....Pages 307-328 Advanced In Silico Tools for Designing of Antigenic Epitope as Potential Vaccine Candidates Against Coronavirus (Mehak Dangi, Rinku Kumari, Bharat Singh, Anil Kumar Chhillar)....Pages 329-357 Machine Learning: What, Why, and How? (Salma Jamal, Sukriti Goyal, Abhinav Grover, Asheesh Shanker)....Pages 359-374 Command-Line Tools in Linux for Handling Large Data Files (Deepti Mishra, Garima Khandelwal)....Pages 375-392 Back Matter ....Pages 393-402