Data to Knowledge in Biology
Buch, Englisch, 202 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 524 g
ISBN: 978-3-319-95326-7
Verlag: Springer International Publishing
This new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and protein functions driven by surface electrostatics.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Chemie Organische Chemie Biochemie
- Naturwissenschaften Biowissenschaften Proteinforschung
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Immunologie
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Biowissenschaften Biowissenschaften
Weitere Infos & Material
Creating Datasets.- Tools and Techniques.- Protein Subunits Interaction.- Homodimer Folding and Binding.- Fusion Proteins.- Major Histocompatibility Complex (MHC) and Peptide Binding.- HLA Supertypes.- T-Epitope Designer.- Eukaryotic Genes, Functions, Genomes, Design, and Evolution.- Single Nucleotide Polymorphism._ Genes, Proteins and Diseases.- Protein Functions Driven By Surface Electrostatics.