Statistical Analysis of Next Generation Sequencing Data
- 種類:
- 電子ブック
- 責任表示:
- edited by Somnath Datta, Dan Nettleton
- 出版情報:
- Cham : Springer International Publishing : Imprint: Springer, 2014
- 著者名:
- シリーズ名:
- Frontiers in Probability and the Statistical Sciences ;
- ISBN:
- 9783319072128 [3319072129]
- 注記:
- 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 med
- ローカル注記:
- 学内専用E-BOOKS (local access only)
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Springer-Verlag Berlin ・ Heidelberg |
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