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Analysis of Whole Transcriptome Sequencing Data: Workflow and Software
Genomics & Informatics ; : 119-125, 2015.
Article in English | WPRIM | ID: wpr-42763
ABSTRACT
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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Full text: Available Index: WPRIM (Western Pacific) Main subject: Polymers / Biological Phenomena / RNA / Gene Expression / Computational Biology / High-Throughput Nucleotide Sequencing / Clinical Coding / Transcriptome Language: English Journal: Genomics & Informatics Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Polymers / Biological Phenomena / RNA / Gene Expression / Computational Biology / High-Throughput Nucleotide Sequencing / Clinical Coding / Transcriptome Language: English Journal: Genomics & Informatics Year: 2015 Type: Article