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KMID : 1132720150130040119
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Genomics & Informatics
2015 Volume.13 No. 4 p.119 ~ p.125
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Analysis of Whole Transcriptome Sequencing Data: Workflow and Software
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Yang In-Seok
Kim Sang-Woo
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Abstract
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RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification.
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KEYWORD
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bioinformatics tools, gene expression, high-throughput RNA sequencing, transcript
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