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Titlebook: Basics of Bioinformatics; Lecture Notes of the Rui Jiang,Xuegong Zhang,Michael Q. Zhang Book 2013 Tsinghua University Press, Beijing and Sp

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期刊全称Basics of Bioinformatics
期刊简称Lecture Notes of the
影响因子2023Rui Jiang,Xuegong Zhang,Michael Q. Zhang
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发行地址Covers most fundamental topics in Bioinformatics.Written by distinguished researchers around the world.Serves as guidance for Bioinformatics programs in China
图书封面Titlebook: Basics of Bioinformatics; Lecture Notes of the Rui Jiang,Xuegong Zhang,Michael Q. Zhang Book 2013 Tsinghua University Press, Beijing and Sp
影响因子.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 Jiangand 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..
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High-Performance Composite StructuresIn bioinformatics research, data sets usually contain tens of thousands of variables, such as different genes and proteins. Statistical methods for analyzing such multivariate data sets are important. In this chapter, multivariate statistical methods will be reviewed, and some challenges in bioinformatic research will be also discussed.
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New Vistas for First-Principles SimulationA hands-on course mainly for the applications of bioinformatics to biological problems was organized at Peking University. The course materials are from http://abc.cbi.pku.edu.cn. They are divided into individual pages (separated by lines in the text):
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Algorithms in Computational Biology,What is an algorithm? An algorithm is a sequence of unambiguous instructions for solving a problem, i.e., for obtaining a required output for any legitimate input in a finite amount of time. Figure 5.1 gives illustrative description of the relation between problem, algorithm and, the input and output of an algorithm.
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Multivariate Statistical Methods in Bioinformatics Research,In bioinformatics research, data sets usually contain tens of thousands of variables, such as different genes and proteins. Statistical methods for analyzing such multivariate data sets are important. In this chapter, multivariate statistical methods will be reviewed, and some challenges in bioinformatic research will be also discussed.
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