Bioinformation Discovery: Data to Knowledge in Biology (2nd ed. 2018)

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Synopsis
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.
Copyright:
2018

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783319953274
Related ISBNs:
9783319953267
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
Springer International Publishing AG, part of Springer Nature
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Science, Computers and Internet, Medicine
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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