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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">&nbsp; </span>First, RNA-Seq can detect unknown transcripts to correspond to existing genomic sequence.<span style="mso-spacerun: yes">&nbsp; </span>Second, RNA-Seq approach is highly reliable, with relatively little technical variation than the RNA hybridization array approach.<span style="mso-spacerun: yes">&nbsp; </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">&nbsp; </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">&nbsp; </span>Fourth, RNA-Seq is a simpler, less time-consumng, and low cost to analyze by direct ultra high throughput sequencing.</font>&nbsp;<br />