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Link zu diesem Datensatz | https://d-nb.info/1355120276 |
Titel | Bioinformatics in Veterinary Science : Vetinformatics / edited by Jun-Mo Kim, Rajesh Kumar Pathak |
Person(en) |
Kim, Jun-Mo (Herausgeber) Pathak, Rajesh Kumar (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2025 |
Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2025 |
Umfang/Format | Online-Ressource, XXVIII, 540 p. 54 illus., 51 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9773-94-7 Printed edition:: ISBN: 978-981-9773-96-1 Printed edition:: ISBN: 978-981-9773-97-8 |
Inhalt | 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 |
Persistent Identifier |
URN: urn:nbn:de:101:1-2502031512458.921616600452 DOI: 10.1007/978-981-97-7395-4 |
URL | https://doi.org/10.1007/978-981-97-7395-4 |
ISBN/Einband/Preis | 978-981-97-7395-4 |
Sprache(n) | Englisch (eng) |
DDC-Notation | 636.089 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 630 Landwirtschaft, Veterinärmedizin |
Online-Zugriff | Archivobjekt öffnen |
