Statistical Analysis of Next Generation Sequencing Data (Frontiers in Probability and the Statistical Sciences) [Hardcover] Datta, Somnath and Nettleton, Dan

Datta, Somnath [Editor]; Nettleton, Dan [Editor];

ISBN 10: 3319072110 / ISBN 13: 9783319072111

Published by Springer, 2014

About this Item

A little highlighting p 356, a little marginalia p 357, else pages clean, unmarked. Cover has light wear. Shipped promptly with Tracking and Signature Confirmation. HC4-2.

Seller Inventory # JH-BQS9-H5QR

Bibliographic Details

• Title: Statistical Analysis of Next Generation Sequencing Data (Frontiers in Probability and the Statistical Sciences) [Hardcover] Datta, Somnath and Nettleton, Dan
• Publisher: Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 3319072110
• ISBN 13: 9783319072111
• Binding: Hardcover
• Condition: Good
• Weight: 28 ounces

About this title

Synopsis

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.

About the editors:

Somnath Datta is Professor and Vice Chair of Bioinformatics and Biostatistics at the University of Louisville. He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics and Elected Member of the International Statistical Institute. He has contributed to numerous research areas in Statistics, Biostatistics and Bioinformatics.

Dan Nettleton is Professor and Laurence H. Baker Endowed Chair of Biological Statistics in the Department of Statistics at Iowa State University.  He is Fellow of the American Statistical Association and has published research on a variety of topics in statistics, biology and bioinformatics.

About the Author

About the editors:

Somnath Datta is Professor and Vice Chair of Bioinformatics and Biostatistics at the University of Louisville. He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics, and Elected Member of the International Statistical Institute. He has contributed to numerous research areas in Statistics, Biostatistics and Bioinformatics.

Dan Nettleton is Professor and Laurence H. Baker Endowed Chair of Biological Statistics in the Department of Statistics at Iowa State University.  He is Fellow of the American Statistical Association and has published research on a variety of topics in statistics, biology, and bioinformatics.