eBook Basics of Bioinformatics, 1st Edition

  • Published By:
  • ISBN-10: 3642389511
  • ISBN-13: 9783642389511
  • DDC: 570.285
  • Grade Level Range: College Freshman - College Senior
  • 395 Pages | eBook
  • Original Copyright 2013 | Published/Released May 2014
  • This publication's content originally published in print form: 2013
  • Price:  Sign in for price

About

Overview

This book outlines 11 courses and 15 research topics in bioinformatics, based on curriculums and talks in a graduate summer school on bioinformatics that was held in Tsinghua University. The courses include: Basics for Bioinformatics, Basic Statistics for Bioinformatics, Topics in Computational Genomics, Statistical Methods in Bioinformatics, Algorithms in Computational Biology, Multivariate Statistical Methods in Bioinformatics Research, Association Analysis for Human Diseases: Methods and Examples, Data Mining and Knowledge Discovery Methods with Case Examples, Applied Bioinformatics Tools, Foundations for the Study of Structure and Function of Proteins, Computational Systems Biology Approaches for Deciphering Traditional Chinese Medicine, and Advanced Topics in Bioinformatics and Computational Biology. This book can serve as not only a primer for beginners in bioinformatics, but also a highly summarized yet systematic reference book for researchers in this field.Rui Jiang and Xuegong Zhang are both professors at the Department of Automation, Tsinghua University, China. Professor Michael Q. Zhang works at the Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Foreword.
Contents.
1: Basics for Bioinformatics.
2: Basic Statistics for Bioinformatics.
3: Topics in Computational Genomics.
4: Statistical Methods in Bioinformatics.
5: Algorithms in Computational Biology.
6: Multivariate Statistical Methods in Bioinformatics Research.
7: Association Analysis for Human Diseases: Methods and Examples.
8: Data Mining and Knowledge Discovery Methods with Case Examples.
9: Applied Bioinformatics Tools.
10: Foundations for the Study of Structure and Function of Proteins.
11: Computational Systems Biology Approaches for Deciphering Traditional Chinese Medicine.
12: Advanced Topics in Bioinformatics and Computational Biology.