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<p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt"><font face="Comic Sans MS"><span lang="EN-US" style="mso-bidi-font-size: 10.0pt"><font size="3">Next generation sequencing technique already began to revolutionize the analysis of transcriptome. <span style="mso-spacerun: yes"> </span>This technique called the is referred to as RNA-Seq.<span style="mso-spacerun: yes"> </span>RNA-Seq uses recently developed deep-sequencing technique , Digitial Gene Expression tag profiling (DGE), or a massive parallel sequencing technique.<span style="mso-spacerun: yes"> </span>This application is for mapping and quantifying transcriptome.<span style="mso-spacerun: yes"> </span>For this reason, it already used to investigate genetic variation (Korbel et al, 2007), transcription factors binding sites (Mikkelsen et al, 2007), alternative splicing (Sultan et al, 2008), microRNAs profiling (Morine et al, 2008), and DNA methylation (Cokus et al, 2008). </font></span><span lang="EN-US" style="mso-bidi-font-size: 10.0pt; mso-ascii-font-family: '맑은 고딕'; mso-ascii-theme-font: major-latin; mso-fareast-font-family: '맑은 고딕'; mso-fareast-theme-font: major-latin; mso-hansi-font-family: '맑은 고딕'; mso-hansi-theme-font: major-latin"><font size="3">Another word to describe this approach is that this approach for transcriptional profiling by sequencing alone is sure to look more complete ways to describe and measure quantitative of the full mRNA population of transcript in organism (Nagalakshmi et al, 2008). <br />
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<p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt"><span lang="EN-US" style="mso-bidi-font-size: 10.0pt; mso-ascii-font-family: '맑은 고딕'; mso-ascii-theme-font: major-latin; mso-fareast-font-family: '맑은 고딕'; mso-fareast-theme-font: major-latin; mso-hansi-font-family: '맑은 고딕'; mso-hansi-theme-font: major-latin"><font size="2"><font face="맑은 고딕"><font face="Comic Sans MS" size="3">RNA-Seq has several key advantages over previous technologies such as inherent limitation of array-based systems, bypass problems inherent to analog measurement, and high costs.<span style="mso-spacerun: yes"> </span>First, RNA-Seq can detect unknown transcripts to correspond to existing genomic sequence.<span style="mso-spacerun: yes"> </span>Second, RNA-Seq approach is highly reliable, with relatively little technical variation than the RNA hybridization array approach.<span style="mso-spacerun: yes"> </span>Third, RNA-Seq is unlike RNA hybridization array approach, it can enable analyses by the low abundances signal detection, the alternative splice variants, the noncoding RNA profiling, and other novel transcripts.<span style="mso-spacerun: yes"> </span>RNA-Seq also indicated highly accurate for quantifying expression levels, as determined using quantitative PCR (qPCR) and spike-in RNA controls of known concentration.<span style="mso-spacerun: yes"> </span>Fourth, RNA-Seq is a simpler, less time-consumng, and low cost to analyze by direct ultra high throughput sequencing.</font> <br />
