Next-Generation Sequencing Data Analysis
暫譯: 下一代測序數據分析
Wang, Xinkun
- 出版商: CRC
- 出版日期: 2023-07-06
- 售價: $3,900
- 貴賓價: 9.5 折 $3,705
- 語言: 英文
- 頁數: 416
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367349892
- ISBN-13: 9780367349899
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
商品描述
Next-generation DNA and RNA sequencing has revolutionized biology and medicine. With sequencing costs continuously dropping and our ability to generate large datasets rising, data analysis becomes more important than ever. Next-Generation Sequencing Data Analysis walks readers through next-generation sequencing (NGS) data analysis step by step for a wide range of NGS applications.
For each NGS application, this book covers topics from experimental design, sample processing, sequencing strategy formulation, to sequencing read quality control, data preprocessing, read mapping or assembly, and more advanced stages that are specific to each application. Major applications include:
- RNA-seq: Both bulk and single cell (separate chapters)
- Genotyping and variant discovery through whole genome/exome sequencing
- Clinical sequencing and detection of actionable variants
- De novo genome assembly
- ChIP-seq to map protein-DNA interactions
- Epigenomics through DNA methylation sequencing
- Metagenome sequencing for microbiome analysis
Before detailing the analytic steps for each of these applications, the book presents introductory cellular and molecular biology as a refresher mostly for data scientists, the ins and outs of widely used NGS platforms, and an overview of computing needs for NGS data management and analysis. The book concludes with a chapter on the changing landscape of NGS technologies and data analytics.
The second edition of this book builds on the well-received first edition by providing updates to each chapter. Two brand new chapters have been added to meet rising data analysis demands on single-cell RNA-seq and clinical sequencing. The increasing use of long-read sequencing has also been reflected in all NGS applications. This book discusses concepts and principles that underlie each analytic step, along with software tools for implementation. It highlights key features of the tools while omitting tedious details to provide an easy-to-follow guide for practitioners in life sciences, bioinformatics, biostatistics, and data science. Tools introduced in this book are open source and freely available.
商品描述(中文翻譯)
下一代 DNA 和 RNA 測序已經徹底改變了生物學和醫學。隨著測序成本不斷下降以及我們生成大型數據集的能力不斷提高，數據分析變得比以往任何時候都更為重要。《下一代測序數據分析》逐步引導讀者進行各種 NGS 應用的下一代測序 (NGS) 數據分析。
對於每個 NGS 應用，本書涵蓋了從實驗設計、樣本處理、測序策略制定，到測序讀取質量控制、數據預處理、讀取映射或組裝，以及針對每個應用的更高階段的主題。主要應用包括：
- RNA-seq：包括大規模和單細胞（分開章節）
- 通過全基因組/外顯子測序進行基因分型和變異發現
- 臨床測序和可操作變異的檢測
- De novo 基因組組裝
- ChIP-seq 用於映射蛋白質-DNA 互作
- 通過 DNA 甲基化測序進行表觀基因組學
- 用於微生物組分析的宏基因組測序
在詳細介紹這些應用的分析步驟之前，本書為數據科學家提供了細胞和分子生物學的入門知識，介紹了廣泛使用的 NGS 平台的運作方式，以及 NGS 數據管理和分析的計算需求概述。本書最後以一章關於 NGS 技術和數據分析變化的景觀作結。
本書的第二版在廣受好評的第一版基礎上進行了更新，對每一章進行了修訂。為了滿足對單細胞 RNA-seq 和臨床測序日益增長的數據分析需求，新增了兩個全新章節。長讀取測序的日益使用也在所有 NGS 應用中得到了反映。本書討論了每個分析步驟背後的概念和原則，以及實施所需的軟體工具。它突出了這些工具的關鍵特性，同時省略了繁瑣的細節，為生命科學、生物資訊學、生物統計學和數據科學的從業者提供了一個易於遵循的指南。本書中介紹的工具都是開源且免費提供的。
作者簡介
Dr. Xinkun Wang is a research professor and the director of the Next-Generation Sequencing Facility at Northwestern University in Chicago. Dr. Wang's first foray into the genomics field was during his doctoral training, performing microarray-based gene expression analysis. From 2005 to 2015, he was the founding director of the University of Kansas Genomics Facility, prior to moving to Northwestern to head the Northwestern University Sequencing Facility (NUSeq) in late 2015. Dr. Wang is a renowned expert on genomics technologies and data mining, and their applications to the biomedical field. Besides his monographic publications, he has published extensively in neuroscience, with a focus on brain aging and neurodegenerative diseases (mostly Alzheimer's disease).
Dr. Wang has served as principal investigator on dozens of grants. Dr. Wang's other professional activities include serving on journal editorial boards, and as reviewers for journals, publishers, and funding agencies. Dr. Wang is a member of American Society of Human Genetics, Association of Biomolecular Resource Facilities, the Honor Society of Phi Kappa Phi, and Society for Neuroscience. Dr. Wang was born in Shandong province, China, and is a first-generation college graduate. His off-work hobbies include cycling and Alpine skiing.
作者簡介(中文翻譯)
王新坤博士是芝加哥西北大學下一代測序設施的研究教授及主任。王博士首次進入基因組學領域是在他的博士訓練期間，進行微陣列基因表達分析。從2005年到2015年，他是堪薩斯大學基因組設施的創始主任，之後於2015年底轉至西北大學擔任西北大學測序設施（NUSeq）的負責人。王博士是基因組技術和數據挖掘的知名專家，並專注於其在生物醫學領域的應用。除了他的專著出版物外，他在神經科學領域也有廣泛的發表，重點研究大腦老化和神經退行性疾病（主要是阿茲海默症）。
王博士擔任過數十項研究計畫的主要研究者。王博士的其他專業活動包括擔任期刊編輯委員會成員，以及擔任期刊、出版商和資助機構的審稿人。王博士是美國人類遺傳學會、分子生物資源設施協會、Phi Kappa Phi榮譽學會和神經科學學會的成員。王博士出生於中國山東省，是第一代大學畢業生。他的業餘愛好包括騎自行車和高山滑雪。
