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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.1
- 수록면
- 119 - 125 (7page)
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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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참고문헌 (48)
참고문헌 신청
Ozsolak F. / 2011 / RNA sequencing : advances, challenges and opportunities / Nat Rev Genet 12:87~98
Marioni JC. / 2008 / RNA-seq : an assessment of technical reproducibility and comparison with gene expression arrays / Genome Res 18:1509~1517
Wang ET. / 2008 / Alternative isoform regulation in human tissue transcriptomes / Nature 456:470~476
Denoeud F. / 2008 / Annotating genomes with massive-scale RNA sequencing. Genome Biol., 9 / R175
Maher CA. / 2009 / Transcriptome sequencing to detect gene fusions in cancer / Nature 458:97~101
Marioni JC. / 2008 / RNA-seq : an assessment of technical reproducibility and comparison with gene expression arrays / Genome Res 18:1509~1517
Wang ET. / 2008 / Alternative isoform regulation in human tissue transcriptomes / Nature 456:470~476
Denoeud F. / 2008 / Annotating genomes with massive-scale RNA sequencing. Genome Biol., 9 / R175
Maher CA. / 2009 / Transcriptome sequencing to detect gene fusions in cancer / Nature 458:97~101
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