From the book reviews: "An excellent introduction for researchers, scholars, and students who would like a broad overview of various research areas in bioinformatics, or for those who would like to study one of these areas in depth. ... it covers a wide variety of topics and that each chapter is self-contained and can be read independently. As such, the book can serve as a central point of reference, or an overview of the many research areas in bioinformatics." (Xiannong Meng, Computing Reviews, June, 2014)

• 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.- Advanced Topics in Bioinformatics and Computational Biology.

From the book reviews: "An excellent introduction for researchers, scholars, and students who would like a broad overview of various research areas in bioinformatics, or for those who would like to study one of these areas in depth. ... it covers a wide variety of topics and that each chapter is self-contained and can be read independently. As such, the book can serve as a central point of reference, or an overview of the many research areas in bioinformatics." (Xiannong Meng, Computing Reviews, June, 2014)

• 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.- Advanced Topics in Bioinformatics and Computational Biology.

From the book reviews: "An excellent introduction for researchers, scholars, and students who would like a broad overview of various research areas in bioinformatics, or for those who would like to study one of these areas in depth. ... it covers a wide variety of topics and that each chapter is self-contained and can be read independently. As such, the book can serve as a central point of reference, or an overview of the many research areas in bioinformatics." (Xiannong Meng, Computing Reviews, June, 2014)

• 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.- Advanced Topics in Bioinformatics and Computational Biology.