Editors: Anupam Nath Jha, Sandeep Swargam, Indu Kumari

Systems Biology, Bioinformatics and Livestock Science

eBook: US $69 Special Offer (PDF + Printed Copy): US $126
Printed Copy: US $91
Library License: US $276
ISBN: 978-981-5165-62-3 (Print)
ISBN: 978-981-5165-61-6 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151656161230101

Introduction

This book explores the intricate world of livestock sciences and production through the lens of systems biology. Offering a comprehensive exploration of both fundamental and advanced aspects, it unearths the potential of systems biology in the realm of livestock. The book presents 13 edited chapters on cutting-edge knowledge about systems biology and omics technology, showcasing genomics, transcriptomics, proteomics, metabolomics, and more. It illuminates the role of systems biology in livestock and disease management. Readers will learn about power of technologies that merge computational biology, nanobiotechnology, artificial intelligence, and single-cell sequencing. Each chapter is written by scientific experts and includes references for further reading.

The book covers 4 key themes:

  • - Introduction to Systems Biology in Livestock Science: Uncover the foundation of integrating systems biology with omics data for animal scientists.
  • - Multi-scale Modeling Techniques: Explore how multi-scale modeling is shaping the future of system biology.
  • - Livestock Viral Diseases: Gain insights into how systems biology is revolutionizing our understanding of livestock viral diseases.
  • - Single Cell RNA-Sequencing: Understand the potential of this advanced technique in studying livestock animals at a cellular level.

This book is a timely resource for students and researchers, offering a pathway to comprehend the crucial role systems biology plays in sustainable livestock production and management.

Readership Students and researchers in the field of systems biology, livestock sciences and management, and veterinary medicine.

Foreword

I was delighted when I received an invitation to write a foreword to the book “ Systems Biology and Bioinformatics and Livestock Sciences”. I enjoyed reading the draft of the book. The book renders comprehensive details of the most commonly used omics technologies used in livestock management and its integration with systems biology approaches. With the development of new-generation omics techniques and their use in livestock management and research, the application of systems biology in the field of livestock sciences is ever-increasing, which is aptly described in the book. The book will be a great source of knowledge for students (Graduate, Post-graduate, Doctoral), academicians of applied and veterinary sciences, early career scientists from bioinformatics, veterinary, basic sciences, applied animal sciences, data science, etc.

The book is appropriately divided into four sections with different chapters. Each chapter in the first section is an introduction to various OMICs techniques and their integration into Systems Biology for Livestock Research. The editors have followed a pedagogic approach to highlight the core practices of OMICs and systems biology, which have been employed in the livestock sciences or can be applied in the future to enhance livestock yield and production. The systematically divided book sections initially introduce the readers to the basics of systems biology. The last section of the book is a section on the future of systems biology in livestock science. It elaborates on recent developments in systems biology, high throughput technologies, its integrated analysis using artificial intelligence algorithms and other modern techniques. The well-written, unique and informative book is bound to attract global readership.

Dinesh Gupta
Group Leader, Translational Bioinformatics
International Centre for Genetic Engineering and Biotechnology
Aruna Asaf Ali Marg
110 067 New Delhi, India

FOREWORD 2

I am immensely delighted to write this foreword for the book titled “Systems Biology and Bioinformatics and Livestock Sciences” edited by Drs. Anupam Nath Jha, Sandeep Swargam, and Indu Kumari. This book is an amalgamation of integrated omics with systems biology, within which readers from interdisciplinary sciences will find valuable information on the application of system biology for livestock sciences, including but not limited to signaling transduction cascades, metabolic pathways, mathematical modeling, disease management, and increased cattle production. As next-generation sequencing has taken the scientific community to a new era, integrated sciences have emerged with a better course of action for research scientists of animal sciences to better understand the health of cattle and increase the yield (milk and meat). This field is currently explored by scientists and scholars in veterinary, bioinformatics, and basic sciences. The chapters in review provide a critical analysis of the ongoing studies, tools and techniques that are being developed. The databases developed for livestock animals and disease-causing pathogens (bacteria and viruses) have been discussed in detail in the chapters. Genomics, transcriptomics, proteomics, metabolomics, translational omics, single-cell transcriptomics, and integration of artificial intelligence-machine learning with system biology and livestock are the terms that are used and elaborated in the chapters. The authors of Systems Biology and Bioinformatics and Livestock Sciences clearly demonstrate the impact system biology can have in the reproduction, early biological development, and immunological studies of livestock.

This book is intended to be helpful to students and early/mid-career scientists from veterinary, bioinformatics, animal, basic and applied sciences. This book will be a noteworthy component of the interdisciplinary sciences in India and worldwide. I believe the book will reach a broad audience, and there will be readers who will gain significant knowledge and insights into this important field of science (both basic and applied) because of their collective efforts.

Nabanita Saikia
Chemistry Department
Ivan Hilton Science Center
New Mexico Highlands University
Las Vegas, New Mexico 87701
United States