In Silico Life Sciences: Medicine
Buch, Englisch, 309 Seiten, 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 Agrarwissenschaften Agrarwissenschaften
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
Weitere Infos & Material
1. Driving forces of Bioinformatics.- 2. Genetic association from RFLPs to millions of variant markers – Unravelling the genetic complexity of diseases.- 3. Diagnostic revolution post-Human Genome Sequence project: High throughput technologies and Bioinformatics.- 4. Genomic revolution driven Cancer Research.- 5. Chromosomal Microarray in the New High Throughput Technological and Bioinformatic Era.- 6. Finding a Needle in a Haystack: Variant Effect Predictor (VEP) to Prioritize Candidate Variants from Millions.- 7. Clinical Strategies for Developing Next-Generation Cancer Precision Medicine.- 8. Dental stem cells in regenerative medicine: Emerging trends and prospects in the era of bioinformatics.- 9. Multiple Analyte Profiling Technology (xMAP) coupled with Functional Bioinformatics Strategies: Potential Applications in Protein Biomarker Profiling in Autoimmune Inflammatory Diseases.- 10. Design and Development of Small Molecules from Somatic, Stem Cell Reprogramming and Therapy.- 11.Molecular Modeling and drug design techniques in Microbial Drug Discovery.- 12.- Combinatorial designing of novel lead molecules towards the putative drugs targets of extreme drug resistant Mycobacterium tuberculosis: a future insight for molecular medicine.- Index.