Statistical analysis of next generation sequencing data

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Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic and statistical techniques are needed. This book contains 20 chapters written by prominent statisticians working with NGS data. The topics range from basic preprocessing and analysis with NGS data to more complex genomic applications such as copy number variation and isoform expression detection. Research statisticians who want to learn about this growing and exciting area will find this book useful. In addition, many chapters from this book could be included in graduate-level classes in statistical bioinformatics for training future biostatisticians who will be expected to deal with genomic data in basic biomedical research, genomic clinical trials and personalized medicine.

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Detail Information

Series Title

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Call Number

519.5 Sta

Publisher

New York : Springer., 2014

Collation

xiv, 430 p. : ill. : ind. ; 24 cm.

Language

English

ISBN/ISSN

9783319072111

Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Statistics

Specific Detail Info

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Statement of Responsibility

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