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Gene expression can be defined as the transcription from DNA to messenger RNA and then translated into amino acids. With the fast development of next-generation sequencing (NGS) technology, the whole genome and transcriptome can be rapidly sequenced. Utilizing RNA sequencing (RNA-Seq), it can discover novel RNA variants and splice sites or quantify mRNAs for gene expression analysis. Therefore, RNA-seq has become a common tool to study gene expression in biological labs. However, analysis of such high-throughput sequencing data requires certain programming skills and statistical knowledge, we will introduce the basic steps in RNA-seq analysis, the multiple testing problem, and how to analyze the differentially expressed genes in R software in this chapter.

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Gene Expression Analysis Using RNA-Seq Data

  • 章节

  • 发表日期：

    2025年

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  • Sufang Wang,
  • Michael Gribskov

摘要

Gene expression can be defined as the transcription from DNA to messenger RNA and then translated into amino acids. With the fast development of next-generation sequencing (NGS) technology, the whole genome and transcriptome can be rapidly sequenced. Utilizing RNA sequencing (RNA-Seq), it can discover novel RNA variants and splice sites or quantify mRNAs for gene expression analysis. Therefore, RNA-seq has become a common tool to study gene expression in biological labs. However, analysis of such high-throughput sequencing data requires certain programming skills and statistical knowledge, we will introduce the basic steps in RNA-seq analysis, the multiple testing problem, and how to analyze the differentially expressed genes in R software in this chapter.