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.
Rezensionen / Stimmen
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)
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Research
Illustrationen
123
123 s/w Abbildungen
XIX, 395 p. 123 illus.
Maße
Höhe: 241 mm
Breite: 160 mm
Dicke: 29 mm
Gewicht
ISBN-13
978-3-642-38950-4 (9783642389504)
DOI
10.1007/978-3-642-38951-1
Schweitzer Klassifikation
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.
