<p>(A) Close correlation (r<sup>2</sup> = 0.80) of 12 selected genes between two approaches. (B) Comparison of the RNA-Seq and the qRT-PCR considering the expression of the 12 selected genes in some combinations for instance.</p
<p>In total, five genes including XIST (lincRNA) were selected for real time data validation. Relati...
<p>(A) 13 genes expression from qRT-PCR. Results respresent mean + S.E.M. (N = 5) (B) 13 genes expre...
<p>A comparison of the results from RNA-seq and from qRT-PCR analyses of differentially expressed ge...
(A) Validation of RNA-seq results using qRT-PCR. (B) Correlation analysis of RNA-seq and qRT-PCR res...
Five genes were selected to verify RNA-Seq results using qRT-PCR. Graphs on the left (A, C, E, G, I,...
<p>Twenty-two genes were arbitrary selected, from highly up-regulated to highly down-regulated conti...
Correlation between RNA-Seq and qRT-PCR data of selected genes from the list of the up regulated tra...
<p>Note: The validation of the accuracy of RNA-seq data was carried out by comparing of RPKM and the...
<p>Pearson correlation coefficient(r = 0.960) was used to determine the similarity in gene expressio...
<p>Comparison of expression level of nine DEGs between RNA-Seq data and qRT-PCR assay. PCR primers a...
The expression profiles were compared with the corresponding DEGs in RNA-seq data (R2 = 0.792, R2 = ...
<p>The black bars represent RNA-seq data, and the white bars represent the qRT-PCR data. The RNA-seq...
<p>CEACAM5 also was analysed as positive control. Results obtained by RNA-Seq and qRT-PCR methods sh...
<p>Twenty-five genes that whose expression was significantly different in the control and treatment ...
<p>Correlation between qRT-PCR and RNA-Seq data of 47 selected genes: 28 up-regulated genes and 19 d...
<p>In total, five genes including XIST (lincRNA) were selected for real time data validation. Relati...
<p>(A) 13 genes expression from qRT-PCR. Results respresent mean + S.E.M. (N = 5) (B) 13 genes expre...
<p>A comparison of the results from RNA-seq and from qRT-PCR analyses of differentially expressed ge...
(A) Validation of RNA-seq results using qRT-PCR. (B) Correlation analysis of RNA-seq and qRT-PCR res...
Five genes were selected to verify RNA-Seq results using qRT-PCR. Graphs on the left (A, C, E, G, I,...
<p>Twenty-two genes were arbitrary selected, from highly up-regulated to highly down-regulated conti...
Correlation between RNA-Seq and qRT-PCR data of selected genes from the list of the up regulated tra...
<p>Note: The validation of the accuracy of RNA-seq data was carried out by comparing of RPKM and the...
<p>Pearson correlation coefficient(r = 0.960) was used to determine the similarity in gene expressio...
<p>Comparison of expression level of nine DEGs between RNA-Seq data and qRT-PCR assay. PCR primers a...
The expression profiles were compared with the corresponding DEGs in RNA-seq data (R2 = 0.792, R2 = ...
<p>The black bars represent RNA-seq data, and the white bars represent the qRT-PCR data. The RNA-seq...
<p>CEACAM5 also was analysed as positive control. Results obtained by RNA-Seq and qRT-PCR methods sh...
<p>Twenty-five genes that whose expression was significantly different in the control and treatment ...
<p>Correlation between qRT-PCR and RNA-Seq data of 47 selected genes: 28 up-regulated genes and 19 d...
<p>In total, five genes including XIST (lincRNA) were selected for real time data validation. Relati...
<p>(A) 13 genes expression from qRT-PCR. Results respresent mean + S.E.M. (N = 5) (B) 13 genes expre...
<p>A comparison of the results from RNA-seq and from qRT-PCR analyses of differentially expressed ge...