Next-Generation Sequencing Data Analysis

Unlike most books reviewed for the Journal of the Royal Statistical Society Series A, this is not a book about statistics.While there is certainly some statistical content in this book, it is a book about next-generation sequencing, modern techniques to determine the sequence of DNA and RNA.Next-generation sequencing refers to newer techniques, which allow for much quicker and cheaper sequencing of DNA and RNA, sometimes with very small samples.This book describes the nature of next-generation sequencing, how it is generated, and a big picture view of how the data are analysed.The potential audience of this book is broad, ranging from life sciences researchers to bioinformaticians and biostatisticians.Most of this book covers the biology of DNA/RNA and the technology involved in modern sequencing, which includes, but is not limited to, different next-generation sequencing techniques, DNA sequencing, RNA sequencing, single-cell RNA sequencing, whole-exome sequencing, detection of actionable variants, ChIP-Seq (which can be used for mapping protein-DNA interactions), DNA methylation sequencing, metagenome sequencing of microbiome communities, and new directions.The types of statistical and machine learning methods used to analyse the data are discussed, but the book does not go into detail of the methods used.This book is ideal for researchers looking to start work related to next-generation sequencing.Statisticians, bioinformaticians, and other nonbiologist researchers would find this work an excellent introduction to the field of next-generation sequencing before starting to work in this area.Biologists not experienced with next-generation sequencing may also find this work useful if they want to better understand the techniques as well as methods of analysis.This book would also serve well as a textbook for a course for undergraduate or graduate students in nextgeneration sequencing data analysis.Overall, I would recommend this book for those interested in learning the technical details behind next-generation sequencing methods.

Authors

Institutions

Publication Details

Journal
Journal of the Royal Statistical Society Series A (Statistics in Society)
Published
2024-10-08
DOI
https://doi.org/10.1093/jrsssa/qnae101
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Next-Generation Sequencing Data Analysis

Amit K. Chowdhry
1 links
Journal of the Royal Statistical Society Series A (Statistics in Society)
Cancer Genomics and Diagnostics
article

Next-Generation Sequencing Data Analysis

Amit K. Chowdhry
article en

Abstract

Unlike most books reviewed for the Journal of the Royal Statistical Society Series A, this is not a book about statistics.While there is certainly some statistical content in this book, it is a book about next-generation sequencing, modern techniques to determine the sequence of DNA and RNA.Next-generation sequencing refers to newer techniques, which allow for much quicker and cheaper sequencing of DNA and RNA, sometimes with very small samples.This book describes the nature of next-generation sequencing, how it is generated, and a big picture view of how the data are analysed.The potential audience of this book is broad, ranging from life sciences researchers to bioinformaticians and biostatisticians.Most of this book covers the biology of DNA/RNA and the technology involved in modern sequencing, which includes, but is not limited to, different next-generation sequencing techniques, DNA sequencing, RNA sequencing, single-cell RNA sequencing, whole-exome sequencing, detection of actionable variants, ChIP-Seq (which can be used for mapping protein-DNA interactions), DNA methylation sequencing, metagenome sequencing of microbiome communities, and new directions.The types of statistical and machine learning methods used to analyse the data are discussed, but the book does not go into detail of the methods used.This book is ideal for researchers looking to start work related to next-generation sequencing.Statisticians, bioinformaticians, and other nonbiologist researchers would find this work an excellent introduction to the field of next-generation sequencing before starting to work in this area.Biologists not experienced with next-generation sequencing may also find this work useful if they want to better understand the techniques as well as methods of analysis.This book would also serve well as a textbook for a course for undergraduate or graduate students in nextgeneration sequencing data analysis.Overall, I would recommend this book for those interested in learning the technical details behind next-generation sequencing methods.

Journal of the Royal Statistical Society Series A (Statistics in Society)Vol. 188(2)
University of Rochester (US)
Openalex Percentile: Top 74%
Cancer Genomics and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Next-Generation Sequencing Data Analysis — Amit K. Chowdhry · Journal of the Royal Statistical Society Series A (Statistics in Society) (2024) | TGRS Research Map | TGRS