Kapak Resmi

Bioinformatics in Veterinary Science Vetinformatics /

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 a...

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Kaydedildi:
Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Kim, Jun-Mo (Editör), Pathak, Rajesh Kumar (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edisyon:1st ed. 2025.
Konular:
Biology.
Zoology.
Bioinformatics.
Biology > Technique.
Biological Sciences.
Computational and Systems Biology.
Biological Techniques.
Online Erişim:https://doi.org/10.1007/978-981-97-7395-4
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
İçindekiler:
  • 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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