Bioinformatics in Veterinary Science : Vetinformatics / edited by Jun-Mo Kim, Rajesh Kumar Pathak.

Format:

Book

Contributor:

Kim, Jun-Mo., Editor.

Pathak, Rajesh Kumar., Editor.

Series:

Biomedical and Life Sciences Series

Language:

English

Subjects (All):

Biology.

Zoology.

Bioinformatics.

Biology--Technique.

Biological Sciences.

Computational and Systems Biology.

Biological Techniques.

Local Subjects:

Biological Sciences.

Zoology.

Computational and Systems Biology.

Biological Techniques.

Physical Description:

1 online resource (XXVIII, 540 p. 54 illus., 51 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

This book presents a compendium of advanced research and basic principles/approaches related to vetinformatics. All chapters have explored the role of basic methods of vetinformatics that may be very helpful for students and researchers studying/working in the area of veterinary and animal science and may also serve the purpose of textbook. The latest developments in the field are discussed, and basic concepts are introduced in a simple but comprehensive way to ensure that students/researchers are able to understand the more advanced study in the proposed field. It also provides a comprehensive list of resources used for RNAseq data analysis, metagenomics, GWAS, systems biology and multiomics integration, molecular docking, toxicity prediction, QSAR, molecular dynamics simulation, vaccine designing, and machine learning. This book serves as an invaluable resource for researchers, faculty, and students of veterinary and animal sciences for understanding modern approaches and the application of vetinformatics involved in livestock research. This also focuses to guide map and carry out studies and research in the field of vetinformatics.

Contents:

Chapter 1 Introduction to vetinformatics and its application in veterinary science

Chapter 2 RNA sequencing and data analysis: A revolutionary approach for transcriptome profiling in livestock

Chapter 3 Metagenomics in Farm Animals: Exploring the Microbial Diversity, Functionality, and Applications

Chapter 4 Epigenomic insights of model animals and their application in understanding livestock systems in veterinary science

Chapter 5 Genome-wide association studies: A powerful approach to identify genomic variants for livestock breeding and disease management

Chapter 6 Single-cell genomics in veterinary science: methods and application

Chapter 7 Systems Biology: Insights, Advances, and Challenges

Chapter 8 Systems biology and integration of multi-omics data

Chapter 9 Vetinformatics approaches in veterinary medicine

Chapter 10 Vetinformatics for identification of drug targets via integrating multi-omics data

Chapter 11 Structural modeling of drug target, validation, and binding site analysis for their application in veterinary drug discovery

Chapter 12 Molecular docking and virtual screening to investigate lead compounds for veterinary drug development

Chapter 13 Analysis of Drug-Likeness and Toxicity Prediction of Lead Compounds for Veterinary Applications

Chapter 14 Applications of Molecular Dynamics Simulation and MM-PBSA Methods in Discovery of Veterinary Drugs

Chapter 15QSAR Modeling and its application in veterinary drug design

Chapter 16 Vetinformatics in vaccine design for the control of animal diseases

Chapter 17 Utilizing vet-informatics for developing reverse genetics-based vaccine platforms against RNA viruses affecting poultry and livestock

Chapter 18 Computational assessment of structural and conformational dynamics of missense mutations on protein structure for veterinary applications

Chapter 19 Applications of nano-bioinformatics in livestock research

Chapter 20 Machine learning in veterinary drug discovery.-Chapter 21 Database Resources and Tools for Veterinary Application.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819773954

9819773954

OCLC:

1499721758