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Next Generation Microarray Bioinformatics: Methods and Protocols
Hardcover
Series: Methods in Molecular Biology, Book 802
Medical ReferenceGeneral ScienceGenetics
ISBN13: 9781617793998
Publisher: Springer Nature
Published: Dec 1 2011
Pages: 401
Weight: 2.05
Height: 1.20 Width: 7.00 Depth: 10.20
Language: English
TABLE OF CONTENTS
PREFACE
LIST OF CONTRIBUTORS
I) Introduction and Resources for Microarray Bioinformatics
1. A Primer on the Current State of Microarray Technologies
Alexander J. Trachtenberg, Robert J. Chang, Azza E. Abdalla, Andrew Fraser, Steven Y. He, Jessica N. Lacy, Chiara Rivas-Morello, Allison Truong, Gary Hardiman, Lucila Ohno-Machado, Fang Liu, Eivind Hovig and Winston Patrick Kuo
2. The KEGG Databases and Tools Facilitating Omics Analysis: Latest Developments Involving Human Diseases and Pharmaceuticals
Masaaki Kotera, Mika Hirakawa, Toshiaki Tokimatsu, Susumu Goto and Minoru Kanehisa
3. Strategies to Explore Functional Genomics Data Sets in NCBI's GEO Database
Stephen E. Wilhite and Tanya Barrett
II) Microarray Data Analysis (Top down approach)
4. Analyzing Cancer Samples with SNP Arrays
Peter Van Loo, Gro Nilsen, Silje H. Nordgard, Hans Kristian Moen Vollan, Anne- Lise B rresen-Dale, Vessela N. Kristensen and Ole Christian Lingj rde
5. Classification Approaches for Microarray Gene Expression Data Analysis
Leo Wang-Kit Cheung
6. Biclustering of Time Series Microarray Data
Jia Meng and Yufei Huang
7. Using the Bioconductor GeneAnswers Package to Interpret Gene Lists
Gang Feng, Pamela Shaw, Steven T. Rosen, Simon M. Lin and Warren A. Kibbe
8. Analysis of Isoform Expression from Splicing Array using Multiple Comparisons
T. Murlidharan Nair
9. Functional Comparison of Microarray Data across Multiple Platforms Using the Method of Percentage of Overlapping Functions
Zhiguang Li, Joshua C. Kwekel and Tao Chen
10. Performance Comparison of Multiple Microarray Platforms for Gene Expression Profiling
Fang Liu, Winston P. Kuo, Tor-Kristian Jenssen and Eivind Hovig
11. Integrative Approaches for Microarray Data Analysis
Levi Waldron, Hilary A. Coller and Curtis Huttenhower
III) Microarray Bioinformatics in Systems Biology (Bottom up approach)
12. Modelling Gene Regulation Networks using Ordinary Differential Equations
Jiguo Cao, Xin Qi and Hongyu Zhao
13. Non-homogeneous Dynamic Bayesian Networks in Systems Biology
Sophie Lèbre, Frank Dondelinger and Dirk Husmeier
14. Inference of Regulatory Networks from Microarray Data with R and the Bioconductor Package qpgraph
Robert Castelo and Alberto Roverato
15. Effective Nonlinear Methods for Inferring Genetic Regulation from Time-series Microarray Gene Expression Data
Junbai Wang and Tianhai Tian
IV) Next Generation Sequencing Data Analysis
16. An Overview of the Analysis of Next Generation Sequencing Data
Andreas Gogol-Döring and Wei Chen
17. How to Analyze Gene Expression using RNA-Sequencing Data
Daniel Ramsköld, Ersen Kavak and Rickard Sandberg
18. Analyzing ChIP-seq Data: Preprocessing, Normalization, Differential Identification and Binding Pattern Characterization
Cenny Taslim, Kun Huang, Tim Huang and Shili Lin
19. Identifying Differential Histone Modification Sites from ChIP-seq Data
Han Xu and Wing-Kin Sung
20. ChIP-Seq Data Analysis: Identification of Protein-DNA Binding Sites with SISSRs Peak Finder
Leelavati Narlikar and Raja Jothi
21. Using ChIPMotifs for de novo Motif Discovery of OCT4 and ZNF263 based on ChIP-based High-throughput Experiments
Brian A. Kennedy, Xun Lan, Tim H-M. Huang, Peggy J. Farnham and Victor X. Jin
V) Emerging Applications of Microarray and Next Generation Sequencing
22. Hidden Markov Models for Controlling False Discovery Rate in Genome-Wide Association Analysis
Zhi Wei
23. Employing Gene Set Top Scoring Pairs to Identify Deregulated Pathway-Signatures in Dilated Cardiomyopathy from Integrated Microar
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