Library size and PCA plots by RIN. A shows the library size (log10) in samples with low RIN values (RINâ<â7) or high RIN (>â=â9). B-E show PCA plots, colored by samples with low RIN (red) or high RIN (blue), by normalization method. (PDF 2842 kb
Smoothed scatter plots showing correlation between TIN score and transcript size. (a)-(c) three samp...
Impact of gene lengths and expression levels on gene quantification correlations among pipelines. (a...
Gene detection logistic regression model. See model details in Methods . Abbreviations: M expected n...
Correlation RIN BioAnalyzer vs MultiNA. RIN values as measured by the Bioanalyzer (Agilent) were com...
Impact of gene length correction on correlation. Simulated expression data of 10 genes in 2 samples....
Spearmanâs correlation to RT-qPCR data of 30 genes. Correlation coefficients (x-axis) of 30 genes ...
Details on the settings for the STAR algorithm and R commands to obtain normalized data. (DOCX 13 kb
Comparison correlation coefficients by method. Boxplots show correlation coefficient of 30 genes, co...
textabstractBackground: Current normalization methods for RNA-sequencing data allow either for inter...
Abstract Background Current normalization methods for RNA-sequencing data allow either for intersamp...
Table S2. This table compares the p values and q values of differential expression analysis by edgeR...
Measured versus expected log2 fold-changes between samples C and D for the shortest 25% genes from e...
Bland-Altman log-ratio(M) - log average (A) plots comparing gene expression in BLM-1 to BLM-2, which...
Table S1. This table summarizes the number of false positives claimed in differential expression ana...
Background: Current normalization methods for RNA-sequencing data allow either for intersample compa...
Smoothed scatter plots showing correlation between TIN score and transcript size. (a)-(c) three samp...
Impact of gene lengths and expression levels on gene quantification correlations among pipelines. (a...
Gene detection logistic regression model. See model details in Methods . Abbreviations: M expected n...
Correlation RIN BioAnalyzer vs MultiNA. RIN values as measured by the Bioanalyzer (Agilent) were com...
Impact of gene length correction on correlation. Simulated expression data of 10 genes in 2 samples....
Spearmanâs correlation to RT-qPCR data of 30 genes. Correlation coefficients (x-axis) of 30 genes ...
Details on the settings for the STAR algorithm and R commands to obtain normalized data. (DOCX 13 kb
Comparison correlation coefficients by method. Boxplots show correlation coefficient of 30 genes, co...
textabstractBackground: Current normalization methods for RNA-sequencing data allow either for inter...
Abstract Background Current normalization methods for RNA-sequencing data allow either for intersamp...
Table S2. This table compares the p values and q values of differential expression analysis by edgeR...
Measured versus expected log2 fold-changes between samples C and D for the shortest 25% genes from e...
Bland-Altman log-ratio(M) - log average (A) plots comparing gene expression in BLM-1 to BLM-2, which...
Table S1. This table summarizes the number of false positives claimed in differential expression ana...
Background: Current normalization methods for RNA-sequencing data allow either for intersample compa...
Smoothed scatter plots showing correlation between TIN score and transcript size. (a)-(c) three samp...
Impact of gene lengths and expression levels on gene quantification correlations among pipelines. (a...
Gene detection logistic regression model. See model details in Methods . Abbreviations: M expected n...