Frontiers in Probability and the Statistical Sciences

Statistical Analysis of Next Generation Sequencing Data

Editors: Datta, Somnath, Nettleton, Dan (Eds.)

  • Provides statistical tools for working with the latest research data in NGS
  • Contains chapters written by leading statisticians in the field of NGS
  • Useful for students and researchers that work in biomedical research and genomic medicine
see more benefits

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-07212-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-07211-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 4, 2016
  • ISBN 978-3-319-37905-0
  • Free shipping for individuals worldwide
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

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 authors

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.

Reviews

From the book reviews:

“This book is an excellent collection of 20 chapters presenting the state of art (as of 2014) of algorithms developed for the analysis of next generation sequencing (NGS) data. … This book is a valuable and well-timed collection of articles on the statistical methods that can be applied on NGS data. Even if no prior NGS knowledge is required, the book is addressed mainly to researchers at postgraduate and post-doc levels.” (Irina Ioana Mohorianu, zbMATH, Vol. 1297, 2014)


Table of contents (20 chapters)

  • Statistical Analyses of Next Generation Sequencing Data: An Overview

    Mitra, Riten (et al.)

    Pages 1-24

  • Using RNA-seq Data to Detect Differentially Expressed Genes

    Lorenz, Douglas J. (et al.)

    Pages 25-49

  • Differential Expression Analysis of Complex RNA-seq Experiments Using edgeR

    Chen, Yunshun (et al.)

    Pages 51-74

  • Analysis of Next Generation Sequencing Data Using Integrated Nested Laplace Approximation (INLA)

    Riebler, Andrea (et al.)

    Pages 75-91

  • Design of RNA Sequencing Experiments

    Nettleton, Dan

    Pages 93-113

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-07212-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-07211-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 4, 2016
  • ISBN 978-3-319-37905-0
  • Free shipping for individuals worldwide
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Statistical Analysis of Next Generation Sequencing Data
Editors
  • Somnath Datta
  • Dan Nettleton
Series Title
Frontiers in Probability and the Statistical Sciences
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-07212-8
DOI
10.1007/978-3-319-07212-8
Hardcover ISBN
978-3-319-07211-1
Softcover ISBN
978-3-319-37905-0
Edition Number
1
Number of Pages
XIV, 432
Number of Illustrations and Tables
19 b/w illustrations, 68 illustrations in colour
Topics