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Next Generation Microarray Bioinformatics

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Cover of 'Next Generation Microarray Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 A Primer on the Current State of Microarray Technologies
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    Chapter 2 The KEGG Databases and Tools Facilitating Omics Analysis: Latest Developments Involving Human Diseases and Pharmaceuticals.
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    Chapter 3 Next Generation Microarray Bioinformatics
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    Chapter 4 Analyzing Cancer Samples with SNP Arrays
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    Chapter 5 Classification Approaches for Microarray Gene Expression Data Analysis
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    Chapter 6 Biclustering of time series microarray data.
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    Chapter 7 Using the Bioconductor GeneAnswers Package to Interpret Gene Lists
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    Chapter 8 Analysis of Isoform Expression from Splicing Array Using Multiple Comparisons
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    Chapter 9 Functional Comparison of Microarray Data Across Multiple Platforms Using the Method of Percentage of Overlapping Functions
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    Chapter 10 Performance Comparison of Multiple Microarray Platforms for Gene Expression Profiling
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    Chapter 11 Integrative Approaches for Microarray Data Analysis
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    Chapter 12 Modeling Gene Regulation Networks Using Ordinary Differential Equations
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    Chapter 13 Nonhomogeneous Dynamic Bayesian Networks in Systems Biology
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    Chapter 14 Inference of Regulatory Networks from Microarray Data with R and the Bioconductor Package qpgraph
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    Chapter 15 Effective Non-linear Methods for Inferring Genetic Regulation from Time-Series Microarray Gene Expression Data
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    Chapter 16 An overview of the analysis of next generation sequencing data.
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    Chapter 17 How to Analyze Gene Expression Using RNA-Sequencing Data
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    Chapter 18 Analyzing ChIP-seq Data: Preprocessing, Normalization, Differential Identification, and Binding Pattern Characterization.
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    Chapter 19 Identifying Differential Histone Modification Sites from ChIP‐seq Data
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    Chapter 20 ChIP-Seq Data Analysis: Identification of Protein–DNA Binding Sites with SISSRs Peak-Finder
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    Chapter 21 Using ChIPMotifs for De Novo Motif Discovery of OCT4 and ZNF263 Based on ChIP-Based High-Throughput Experiments.
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    Chapter 22 Hidden Markov Models for Controlling False Discovery Rate in Genome-Wide Association Analysis
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    Chapter 23 Employing Gene Set Top Scoring Pairs to Identify Deregulated Pathway-Signatures in Dilated Cardiomyopathy from Integrated Microarray Gene Expression Data
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    Chapter 24 JAMIE: A Software Tool for Jointly Analyzing Multiple ChIP-chip Experiments
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    Chapter 25 Epigenetic Analysis: ChIP-chip and ChIP-seq
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    Chapter 26 BiNGS!SL-seq: A Bioinformatics Pipeline for the Analysis and Interpretation of Deep Sequencing Genome-Wide Synthetic Lethal Screen.
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9 X users
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1 Wikipedia page

Citations

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484 Mendeley
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Title
Next Generation Microarray Bioinformatics
Published by
Humana Press, December 2011
DOI 10.1007/978-1-61779-400-1
ISBNs
978-1-61779-399-8, 978-1-61779-400-1
Editors

Wang, Junbai, Tan, Aik Choon, Tian, Tianhai

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 484 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
Sweden 6 1%
Canada 4 <1%
United Kingdom 4 <1%
Italy 4 <1%
Germany 3 <1%
India 3 <1%
Brazil 2 <1%
Portugal 2 <1%
Other 21 4%
Unknown 427 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 141 29%
Researcher 128 26%
Student > Master 62 13%
Student > Doctoral Student 28 6%
Student > Bachelor 27 6%
Other 71 15%
Unknown 27 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 256 53%
Biochemistry, Genetics and Molecular Biology 79 16%
Medicine and Dentistry 32 7%
Computer Science 22 5%
Immunology and Microbiology 14 3%
Other 43 9%
Unknown 38 8%