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Table 1 Sequencing and mapping quality metrics comparison between 3’Pool-seq and TrusSeq. Shown in the table are the mean and standard deviation of the different quality metrics

From: 3’Pool-seq: an optimized cost-efficient and scalable method of whole-transcriptome gene expression profiling

Quality Metrics

3’Pool-seq

mRNA TruSeq

# of samples

6

6

Reads per sample (Millions)

6.4 ± 3.6

33 ± 10.4

Number Uniquely Mapped Reads (Millions)

4.7 ± 2.7

28.7 ± 8.7

% mapped reads

87.2 ± 2

94.4 ± 1.9

% Uniquely mapped reads

72 ± 4

87 ± 1

 % coding reads

24 ± 0.8

36 ± 2

 % UTR reads

42 ± 0.7

34 ± 0.2

 % rRNA reads (× 10^-5)

2 ± 0.4

19.8 ± 8

 % non-mRNA reads

31 ± 2

28 ± 3

# of genes detected (TPM >1)

13,571 ± 179

14,135 ± 211

ERCC correlation with theoretical concentrations (r2)

0.93 ± 0.01

0.87 ± 0.03

ERCC pairwise correlation between samples (r2)

0.97 ± 0.01

0.95 ± 0.01