Bioinformatics in Veterinary Science
portes grátis
Bioinformatics in Veterinary Science
Vetinformatics
Kim, Jun-Mo; Pathak, Rajesh Kumar
Springer Verlag, Singapore
01/2025
608
Dura
9789819773947
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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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Veterinary science;Bioinformatics;Animal Genomics;Systems Biology;Database
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
