Buch, Englisch, 309 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 658 g
In Silico Life Sciences: Medicine
Buch, Englisch, 309 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 658 g
ISBN: 978-3-030-18374-5
Verlag: Springer International Publishing
Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput molecular data for the diagnosis, prognosis, and treatment of monogenic or polygenic human diseases. The key concepts in this volume include risk factor assessment, genetic tests and result interpretation, personalized medicine, and drug discovery. This volume is expected to train readers in both single and multi-dimensional biological analysis using open data sets, and provides a unique learning experience through clinical scenarios and case studies.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Naturwissenschaften Agrarwissenschaften Agrarwissenschaften
- Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
Weitere Infos & Material
1. Bioinformatics strategies for molecular diagnostics
o Candidate gene selection and analysis of Rare diseases
o Candidate gene selection and analysis of Complex diseases
2. Bioinformatics tools for Molecular Diagnostics
o Single Gene Disorders – Case studies
o Polygenic Disorders – Case studies
o Genetic Tests – Tools, Results, Interpretation
3. Bioinformatics approaches for Genetic Risk Marker Studies
o Population Genetics
o Gene Polymorphisms
o Gene Expression Assays
o Genetic Statistics
4. Bioinformatics for Disease Prognostics
o Pharmacogenetics
o Efficacy
o Toxicity
o Adverse reactions
o Biomarker Selection and Monitoring
o Precision Medicine
5. Bioinformatics tools in Gene Therapy
o Enzyme Replacement- Bioinformatics role is limited
o Gene Replacement (Knock-in)
o Gene Silencing(RNAi)
o Gene Editing (CRISPR)
6. Bioinform
atics tools in Disease Therapeutics – Data analysis tools and application
o Drug Discovery
o Protein-Drug Interactions
o Drug-Body metabolism studies
o Microbiome