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Next Generation Sequencing in Cancer Research

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Cover of 'Next Generation Sequencing in Cancer Research'

Table of Contents

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    Book Overview
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    Chapter 1 The Evolution of High-Throughput Sequencing Technologies: From Sanger to Single-Molecule Sequencing
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    Chapter 2 Next-Generation Sequencing in Cancer Epigenomics and Potential Clinical Applications
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    Chapter 3 Next-Generation Sequencing for Cancer Genomics
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    Chapter 4 Genomic Landscape of Cancer Metastasis
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    Chapter 5 Mapping the HIF Transcription Factor in Cancer by ChIP-Seq Technology
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    Chapter 6 Application of Next-Generation Sequencing to Analysis of TGFβ/SMAD4 Targets in Ovarian Cancer
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    Chapter 7 Targeted Sequencing Strategies in Cancer Research
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    Chapter 8 Comprehensive Genomic Alterations in Common Cancer Cell Lines Revealed by Exome Sequencing
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    Chapter 9 Application of Next-Generation Sequencing in RNA Biomarker Discovery in Cancer Research
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    Chapter 10 Understanding the Role of Long Noncoding RNAs in the Cancer Genome
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    Chapter 11 Identification of piRNAs in HeLa Cells by Massive Parallel Sequencing
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    Chapter 12 MicroRNA Expression in Breast Cancer Revealed by Deep Sequencing Technology
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    Chapter 13 RNA-Seq in Prostate Cancer Research
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    Chapter 14 Next-Generation Sequencing for High-Throughput RNA Interference Screens
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    Chapter 15 Assessment of Mapping and SNP-Detection Algorithms for Next-Generation Sequencing Data in Cancer Genomics
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    Chapter 16 Applications of Very Low-Coverage Sequencing in Cancer Genomics: Copy Number, Virus Detection and Survival
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    Chapter 17 Tumor Phylogenetics in the NGS Era: Strategies, Challenges, and Future Prospects
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    Chapter 18 Impact and Challenges in Assessing Tumor Purity by Next-Generation Sequencing
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Title
Next Generation Sequencing in Cancer Research
Published by
Springer New York, January 2013
DOI 10.1007/978-1-4614-7645-0
ISBNs
978-1-4614-7644-3, 978-1-4614-7645-0
Editors

Wei Wu, Hani Choudhry

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X Demographics

The data shown below were collected from the profiles of 4 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 4%
Student > Bachelor 4 3%
Student > Ph. D. Student 4 3%
Student > Master 4 3%
Other 2 1%
Other 1 <1%
Unknown 116 85%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 7%
Medicine and Dentistry 4 3%
Agricultural and Biological Sciences 3 2%
Computer Science 1 <1%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 2 1%
Unknown 117 85%