Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics.It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für höhere Schule und Studium
Produkt-Hinweis
Broschur/Paperback
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Illustrationen
Approx. 101 illustrations (1 in full color)
Maße
Höhe: 276 mm
Breite: 216 mm
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ISBN-13
978-0-323-89775-4 (9780323897754)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr. Dev Bukhsh Singh is currently an Assistant Professor in the Department of Biotechnology at Siddharth University, Kapilvastu, Siddharth Nagar, India since 2021. He also served as Assistant Professor in the Department of Biotechnology at Chhatrapati Shahu Ji Maharaj University, Kanpur, India from 2009-2021. He received BSc (Biology) and MSc from the University of Allahabad, an MTech from the Indian Institute of Information Technology, Prayagraj India, and a PhD in Biotechnology from Gautam Buddha University, India. He has been actively involved in teaching BSc and MSc Biotechnology students since 2009. His areas of research are medicinal biology, lead compound search, and drug design. He published three edited books: Frontiers in Protein Structure, Function, and Dynamics Computer-Aided Drug Design and Bioinformatics: Methods and Applications. He is a member of various national and international academic bodies and is a reviewer for several international journals. Rajesh Kumar Pathak completed his BSc from Barkatullah University, Bhopal, MSc from Chhatrapati Shahu Ji Maharaj University, Kanpur, and PhD from Uttarakhand Technical University, Dehradun, India. He has authored several articles in international journals including, Scientific Reports, Computational Biology and Chemistry, OMICS: A Journal of Integrative Biology, Frontiers in Plant Science, 3 Biotech, Journal of Biomolecular Structure and Dynamics, etc. His research interests lie in the areas of the genome and transcriptome assembly and annotation, microarray data analysis, pathway modeling, and network analysis, molecular docking, virtual screening, and molecular dynamics simulation. He has worked as a Teaching Personnel at G. B. Pant University of Agriculture & Technology, Pantnagar, India, and Teaching Assistant at the School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
Herausgeber*in
Assistant Professor, Department of Biotechnology, Siddharth University, Siddharth Nagar, India
Post-Doctoral Researcher at Chung-Ang University, Anseong, Gyeonggi-do, Republic of Korea
1. Introduction to Basics of Bioinformatics 2. Biological Databases and their Applications 3. Biological Sequence Analysis 4. Genome Assembly and Annotation 5. Computational Molecular Phylogeny: Concepts and Applications 6. Applications and challenges of microarray and RNA-sequencing 7. RNAseq Data Analysis 8. Analysis of SSR and SNP Markers 9. Gene Ontology (GO): Application and Importance in Functional Annotation of the Genomic Data 10. Metagenomics: The Boon for Microbial World Knowledge and Current Challenges 11. Protein structure Prediction 12. Structural and Functional analysis of protein 13. Computational Approaches in Drug designing 14. Structure-Based Drug Designing 15. Ligand-Based Drug Designing 16. Discovery and Optimization of Lead Molecules in Drug Designing 17. Pharmacophore modeling and its applications 18. Molecular Docking and Molecular Dynamics Simulation 19. Pharmacokinetics and Pharmacodynamics analysis of Drug Candidates 20. Computational Approaches for Vaccine Designing 21. Metabolomics and Flux Balance Analysis 22. Topological Parameters, Patterns, and Motifs in Biological Networks 23. Network Biology and its Application 24. Pathway Modeling and Simulation Analysis 25. Systems Biology and Big Data Analytics 26. Machine Leaning in Bioinformatics 27. Bioinformatics and Biological Data mining
