Bioinformation Discovery

Data to Knowledge in Biology

Bioinformation Discovery

Data to Knowledge in Biology

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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. 



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.
ISBN 978-3-030-07015-1
Artikelnummer 9783030070151
Medientyp Buch
Auflage 2. Aufl.
Copyrightjahr 2019
Verlag Springer, Berlin
Umfang XXXIII, 202 Seiten
Abbildungen XXXIII, 202 p. 141 illus., 17 illus. in color.
Sprache Englisch