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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 2: Compressing Resequencing Data with GReEn
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Citations

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Chapter title
Compressing Resequencing Data with GReEn
Chapter number 2
Book title
Deep Sequencing Data Analysis
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-514-9_2
Pubmed ID
23872967
Book ISBNs
978-1-62703-513-2, 978-1-62703-514-9
Authors

Armando J. Pinho, Diogo Pratas, Sara P. Garcia, Pinho, Armando J., Pratas, Diogo, Garcia, Sara P.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Student > Ph. D. Student 1 20%
Other 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Computer Science 2 40%
Agricultural and Biological Sciences 1 20%

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