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Statistical Genomics

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Cover of 'Statistical Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Overview of Sequence Data Formats
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    Chapter 2 Integrative Exploratory Analysis of Two or More Genomic Datasets
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    Chapter 3 Study Design for Sequencing Studies
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    Chapter 4 Genomic Annotation Resources in R/Bioconductor
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    Chapter 5 The Gene Expression Omnibus Database
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    Chapter 6 A Practical Guide to The Cancer Genome Atlas (TCGA)
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    Chapter 7 Working with Oligonucleotide Arrays
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    Chapter 8 Meta-Analysis in Gene Expression Studies
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    Chapter 9 Practical Analysis of Genome Contact Interaction Experiments
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    Chapter 10 Quantitative Comparison of Large-Scale DNA Enrichment Sequencing Data
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    Chapter 11 Variant Calling From Next Generation Sequence Data
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    Chapter 12 Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes
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    Chapter 13 NGS-QC Generator: A Quality Control System for ChIP-Seq and Related Deep Sequencing-Generated Datasets
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    Chapter 14 Operating on Genomic Ranges Using BEDOPS
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    Chapter 15 GMAP and GSNAP for Genomic Sequence Alignment: Enhancements to Speed, Accuracy, and Functionality
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    Chapter 16 Visualizing Genomic Data Using Gviz and Bioconductor
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    Chapter 17 Introducing Machine Learning Concepts with WEKA
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    Chapter 18 Experimental Design and Power Calculation for RNA-seq Experiments
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    Chapter 19 It’s DE-licious: A Recipe for Differential Expression Analyses of RNA-seq Experiments Using Quasi-Likelihood Methods in edgeR
Attention for Chapter 16: Visualizing Genomic Data Using Gviz and Bioconductor
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