Basics of Bioinformatics: Lecture Notes of the Graduate Summer School on Bioinformatics of China

ISBN-13: 9783642389504 / Angielski / Twarda / 2013 / 395 str.

Rui Jiang; Xuegong Zhang; Michael Q. Zhang

Opis

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 Zhangare bothprofessors at the Department of Automation, Tsinghua University, China. Professor Michael Q. Zhang works at the Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

Recenzje

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)

Spis treści

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.