Textbook Of Bioinformatics, A: Information-theoretic Perspectives Of Bioengineering And Biological Complexes

This book on bioinformatics is designed as an introduction to the conventional details of genomics and proteomics as well as a practical comprehension text with an extended scope on the state-of-the-art bioinformatic details pertinent to next-generation sequencing, translational/clinical bioinformatics and vaccine-design related viral informatics.
It includes four major sections: (i) An introduction to bioinformatics with a focus on the fundamentals of information-theory applied to biology/microbiology, with notes on bioinformatic resources, data bases, information networking and tools; (ii) a collection of annotations on the analytics of biomolecular sequences, with pertinent details presented on biomolecular informatics, pairwise and multiple sequences, viral sequence informatics, next-generation sequencing and translational/clinical bioinformatics; (iii) a novel section on cytogenetic and organelle bioinformatics explaining the entropy-theoretics of cellular structures and the underlying informatics of synteny correlations; and (iv) a comprehensive presentation on phylogeny and species informatics.
The book is aimed at students, faculty and researchers in biology, health/medical sciences, veterinary/agricultural sciences, bioengineering, biotechnology and genetic engineering. It will be a useful companion for managerial personnel in the biotechnology and bioengineering industries as well as in health/medical science.

Product details

• Authors: Perambur S Neelakanta, Perambur S. Neelakanta, Perambur S Neelakanta
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Released: 30.09.2020
• EAN: 9789811212888
• ISBN: 978-981-1212-88-8
• Subjects: Natural sciences, medicine, IT, technology > Biology > General, dictionaries; SCIENCE / Life Sciences / General, SCIENCE / Life Sciences / Biochemistry, TECHNOLOGY & ENGINEERING / Chemical & Biochemical, Life sciences: general issues, Computational biology / bioinformatics