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Bioinformatics: Sequences, Structures, Phylogeny de Asheesh Shanker

Bioinformatics: Sequences, Structures, Phylogeny

Editat de Asheesh Shanker
en Limba Engleză Hardback – 22 oct 2018
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.
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Specificații

ISBN-13: 9789811315619
ISBN-10: 9811315612
Pagini: 421
Ilustrații: IX, 402 p. 100 illus., 90 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.82 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

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

Notă biografică

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 international journals and authored/co-authored 3 books in the field of bioinformatics, which are popular among students.

Textul de pe ultima copertă

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.

Caracteristici

Cover the topics from sequencing to structural analysis
Beneficial to a beginner as well as for advanced learner
Covers intellectual property protection in bioinformatics