Description

Book Synopsis

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.

Bioinformatics in Veterinary Science

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    £189.99

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    RRP £199.99 – you save £10.00 (5%)

    Order before 4pm tomorrow for delivery by Wed 17 Jun 2026.

    A Hardback by Jun-Mo Kim

    15 in stock


      View other formats and editions of Bioinformatics in Veterinary Science by Jun-Mo Kim

      Publisher: Springer
      Publication Date: 26/02/2025
      ISBN13: 9789819773947, 978-9819773947
      ISBN10:

      Description

      Book Synopsis

      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.

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