Quantitative Biology - Problems, Methods and Solutions

Biochemistry, Immunology and Cell Biology
Erscheinungsjahr 2027
ISBN: 978-981-9275-61-8
Verlag: Springer Nature Singapore

Buch, Englisch, 242 Seiten, Format (B × H): 155 mm x 235 mm

This textbook offers a comprehensive exploration of quantitative methods in biochemistry, immunology, and cell biology, providing a unique blend of theory and practical applications. It is an essential resource for understanding the analytical and computational models that illuminate biological processes. 

The book covers a wide array of topics such as protein-ligand binding, therapeutic target definition, and signal acquisition. Each chapter is carefully crafted to balance theoretical insights with practical applications, ensuring that readers gain a comprehensive understanding of the subject matter. The authors bring their extensive expertise to present complex mathematical techniques in an accessible manner. This ensures that a broad audience can grasp the mathematical complexity of biological phenomena. In addition to its thorough exploration of quantitative methods, the book includes learning objectives, key takeaways, and end-of-chapter questions, making it an ideal textbook for undergraduate and graduate courses in bioinformatics, biochemistry, immunology, and cell biology. Researchers in mathematical biology and drug discovery will also find this volume to be a valuable reference.

This book is particularly suited for students and researchers in the fields of bioinformatics, biochemistry, immunology, and cell biology. With its comprehensive coverage and practical focus, it is a must-read for anyone seeking to deepen their understanding of the quantitative aspects of biology.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Ghosh, Shyamasree

Dasgupta, Rathi

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

Chapter 1. Introduction to Quantitative Techniques in Biology.- Chapter 2. Mathematical Modeling in Biological Sciences.- Chapter 3. Quantitative Methods in Biochemistry.- Chapter 4. Quantitative and Mathematical Methods in Immunology.- Chapter 5. Mathematical models in Cell Biology.- Chapter 6. Signal Acquisition and Analysis in Polysomnographic Recordings.- Chapter 7. Quantitative Methods in Agricultural Sciences.- Chapter 8. Mathematical Biology: Applications in Ecology.

Über Autor(innen)

Dr. Shyamasree Ghosh is working as a Scientific Officer at the NISER Bhubaneswar, India. She has been working in the domains of glycobiology, sialic acids, immunology, stem cells, nanotechnology, and computational immunology. She has graduated from the Presidency College Kolkata in 1998, and was awarded the prestigious National Scholarship from the Government of India. She pursued Masters in Biotechnology from Calcutta University in 2000, ranking second in the University. She completed her PhD from the Indian institute of Chemical Biology (IICB) Kolkata, CSIR, India in glycobiology, sialic acids, immunology, and Cancer Biology. She did her Post Doctoral Research in Indian Association for the Cultivation of Sciences (IACS), India on nanotechnology, stem cells and Cancer Biology. She has served as faculty and Chair (2005-2009) of Dept. Her work has been recognized and accepted globally, and she has been awarded by various scientific bodies in India. She is a member of numerous national science bodies and is editorial board member in scientific societies.

Dr. Rathi Dasgupta, is a Physicist turned Computer Scientist, currently working on creating a start up in the areas of Drug Discovery and Repurpose in the USA. He is also a Visiting Fellow at the department of Physics at Loyola University of Chicago. He did his bachelor in Science with Major in Physics, St. Xavier’s College, University of Calcutta, India, (Integrated MTech), radio physics & electronics, Institute of Radio Physics and Electronics, Master of Science (MS), Nuclear & Particle Physics, University College of Science & Technology, doctoral research, in theoretical physics, Saha Institute of Nuclear Physics, University of Calcutta and has been adjunct Faculty, Mathematics & Computer Science at MS in CSE & EE Class, Alliance University, visiting faculty, Computer Information Science, MBA Class, Indian Institute of Management, Bangalore and Associate Visiting Professor, Computer Science & Mathematics, Xavier Institute of Management & Entrepreneurship. He also has a few US provisional and full patents in Machine Learning.