RNA-seq Data Analysis: A Practical Approach (Hardcover)

The State of the Art in Transcriptome Analysis
RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes.

Balanced Coverage of Theory and Practice
Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples. Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of command-line tools, R, and other open source tools, such as the graphical Chipster software.

The Tools and Methods to Get Started in Your Lab
Taking readers through the whole data analysis workflow, this self-contained guide provides a detailed overview of the main RNA-seq data analysis methods and explains how to use them in practice. It is suitable for researchers from a wide variety of backgrounds, including biology, medicine, genetics, and computer science. The book can also be used in a graduate or advanced undergraduate course.

「轉錄體分析的最新技術」
RNA序列（RNA-seq）數據提供了關於轉錄體的前所未有的信息，但是利用生物信息學工具來利用這些信息通常是一個瓶頸。「RNA-seq數據分析：實用方法」使研究人員能夠在基因、外顯子和轉錄本水平上檢查差異表達，並發現新的基因、轉錄本和整個轉錄體。

「理論和實踐的平衡覆蓋」
每一章都以理論背景開始，然後描述相關的分析工具和實際示例。這些示例適用於生物信息學家和非編程濕實驗室科學家，並且說明了如何使用命令行工具、R和其他開源工具，如圖形化的Chipster軟件。

「開始實驗室工作的工具和方法」
本自包含指南將讀者帶領完成整個數據分析工作流程，詳細介紹了主要的RNA-seq數據分析方法並解釋了如何實際應用它們。適用於各種背景的研究人員，包括生物學、醫學、遺傳學和計算機科學。本書也可用於研究生或高年級本科課程。