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Kangueane, P: Bioinformation Discovery


en Limba Engleză Paperback – 26 noi 2014
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.
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Specificații

ISBN-13: 9781489983183
ISBN-10: 148998318X
Pagini: 194
Ilustrații: XXV, 166 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.28 kg
Ediția:2009
Editura: Springer Verlag GmbH
Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Illustrates the power of biological data in knowledge discovery Used for the development of prediction models for simulations of biological reactions and events Examples of knowledge discovery with plenty of exercise problems Includes supplementary material: sn.pub/extras