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Mapping and differential expression analysis from short-read RNA-Seq data in model organisms
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作者 Qiong-Yi Zhao jacob gratten +1 位作者 Restuadi Restuadi Xuan Li 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2016年第1期22-35,共14页
Recent advances in next-generation sequencing technology allow high-throughput RNA sequencing (RNA-Seq) to be widely applied in transcriptomic studies. For model organisms with a reference genome, the first step in ... Recent advances in next-generation sequencing technology allow high-throughput RNA sequencing (RNA-Seq) to be widely applied in transcriptomic studies. For model organisms with a reference genome, the first step in analysis of RNA-Seq data involves mapping of short-read sequences to the reference genome. Reference-guided transcriptome assembly is an optional step, which is recommended if the aim is to identify novel transcripts. Following read mapping, the primary interest of biologists in many RNA-Seq studies is the investigation of differential expression between experimental groups. In this review, we discuss recent developments in RNA-Seq data analysis applied to model organisms, including methods and algorithms for direct mapping, reference-guided transcriptome assembly and differential expression analysis, and provide insights for the future direction of RNA-Seq. 展开更多
关键词 RNA-SEQ MAPPING reference-guided transcriptome assembly differential expression analysis
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