With the remarkable advances of high-throughput sequencing technology, transcriptome sequencing (RNA-Seq) technology has been widely used in various research fields.RNA-Seq can disclose gene expression spectrum, structure feature and regulation network in live cells by differential RNA-Seq on whole cells in different conditions or from distinct tissues.While the rapid application of high-throughput sequencing technology,there are a large number of emerging analytical methods and toolsfor RNA-Seq, which sometimes puzzles the researchers how to make a choice on an appropriate algorithm analysis and corresponding tool.Here, the analytical methods, software tools and selection criteria for practical RNA-Seq analysiswere reviewed in the literature, and then provide information and insights for related research and application.
transcriptomehigh throughput sequencingdata processing and analysis
NETL
NSTL
万方数据
维普
