Bioinformatics: Sequences, Structures, Phylogeny

Dr. Asheesh Shanker is Associate Professor and Coordinator of the Bioinformatics Programme at the Centre for Biological Sciences, Central University of South Bihar, India. Prior to that he served as an Assistant/Associate Professor (2004-2015) at the Department of Bioscience and Biotechnology, Banasthali Vidyapith, Rajasthan, India, and he has a decade of teaching and research experience. His research focuses on data mining, database and server development, evolutionary analysis, computational genomics, and structure analysis. He is a recipient of prestigious Indo-Swiss Joint Research Programme fellowship from the University of Lausanne, Switzerland. He has been a convener/organizing secretary for several national bioinformatics workshops, served as a member of organizing committee of International conferences, and delivered invited talks. He is also a reviewer for a number of peer-reviewed journals. He has published more than 50 research articles in leading national and internationaljournals and authored/co-authored 3 books in the field of bioinformatics, which are popular among students.

• Chapter 1 Bioinformatics and Intellectual Property Rights: An Introduction.- Chapter 2 Next Generation Sequencing: Technology, Advancements and Applications.- Chapter 3 Sequence Analysis.- Chapter 4 Understanding Genomic Variations in the Context of Health and Disease.- Chapter 5 Metagenomics: A Long Way to Go.- Chapter 6 Computational Epigenomics and Its Application in Regulatory Genomics.- Chapter 7 Data Mining to Detect Common, Unique and Polymorphic Simple Sequence Repeats.- Chapter 8 R-programming for Genome-wide Data Analysis.- Chapter 9 Phylogenetic Analysis.- Chapter 10 Structural Bioinformatics: Life Through the 3D Glasses.- Chapter 11 An Introduction to the Protein Folding Process and Survey of the Structural Parameters of Proteins Used for Computational Predictions.- Chapter 12 Quality Assessment of Protein Tertiary Structures: Past, Present and Future.- Chapter 13 Predicting Protein Function Using Homology Based Methods.- Chapter 14 Drug Discovery: An In Silico Approach.- Chapter 15 Advanced In-silico Tools for Designing of Antigenic Epitope as Potential Vaccine Candidates Against Corona Virus.- Chapter 16 Machine Learning: What, Why & How?.- Chapter 17 Command Line Tools in Linux for Handling Large Data Files