Buch, Englisch, 166 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 300 g
Data to Knowledge in Biology
Buch, Englisch, 166 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 300 g
ISBN: 978-1-4899-8318-3
Verlag: Springer
Bioinformation Discovery illustrates 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. Each chapter concludes with a number of good problem sets to test mastery of the material.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Chemie Organische Chemie Biochemie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Immunologie
- Naturwissenschaften Biowissenschaften Biowissenschaften
- Naturwissenschaften Biowissenschaften Proteinforschung
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
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.
