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Deep Sequencing Data Analysis

Overview of attention for book
Cover of 'Deep Sequencing Data Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to High-Throughput Sequencing Experiments: Design and Bioinformatics Analysis
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    Chapter 2 Compressing Resequencing Data with GReEn
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    Chapter 3 On the Accuracy of Short Read Mapping
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    Chapter 4 Statistical Modeling of Coverage in High-Throughput Data
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    Chapter 5 Assembly Algorithms for Deep Sequencing Data: Basics and Pitfalls
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    Chapter 6 Short Read Mapping for Exome Sequencing
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    Chapter 7 Profiling Short Tandem Repeats from Short Reads
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    Chapter 8 Exome sequencing analysis: a guide to disease variant detection.
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    Chapter 9 Identifying RNA Editing Sites in miRNAs by Deep Sequencing
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    Chapter 10 Identifying Differential Alternative Splicing Events from RNA Sequencing Data Using RNASeq-MATS.
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    Chapter 11 Optimizing Detection of Transcription Factor-Binding Sites in ChIP-seq Experiments
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    Chapter 12 Statistical Analysis of ChIP-seq Data with MOSAiCS
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    Chapter 13 Detection of Reverse Transcriptase Termination Sites Using cDNA Ligation and Massive Parallel Sequencing
Attention for Chapter 8: Exome sequencing analysis: a guide to disease variant detection.
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