Whole-genome expression profile data are useful to approach genome system biology with quantification of expressed RNAs from a whole-genome transcriptome, depending on the tissue samples, such as control and exposed tissue. The hybrid mRNA sequences from Rohce/454 and Illumina/Solexa are more powerful to find novel genes through de novo assembly in any whole-genome sequenced species. The 20x and 50x coverage of the estimated transcriptome sequences using Roche/454 and Illumina/Solexa, respectively, is effective to create novel expressed reference sequences. However, only an average 30x coverage of a transcriptome with short read sequences of Illumina/Solexa is enough to check expression quantification, compared to the reference EST sequence. In any NGS application, the transcriptome expression information would be more useful than complete genome information research with the lowest sequencing budget for biologists to better understand gene regulation of related genetic phenotypes with the in silico method. The study of target genes related to specific traits including disease resists is available pathway analysis through comparing RNA sequencing among the genotypes.

• Ik-Young Choi(National Instrumentation Center for Environmental Management, College of Agriculture and Life Sciences, Seoul National University)