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Table 1 Comparison of RNA-seq and transcript counting

From: High-throughput and quantitative genome-wide messenger RNA sequencing for molecular phenotyping

  

lamc1 sa379

mdn1 sa1349

 

Library protocol

RNA-seq

TC

RNA-seq

TC

 

Number of libraries

x6

x12

x6

x8

1

Number of read 2s mapped

146M

84M

119M

97M

2

Reads removed as duplicates

31.4 %

11.7 %

25.3 %

9.8 %

3

Counts (map to ENSG or called as peaks)

67M

52M

61M

61M

4

Number of counts matching MT transcripts

2.25M

5.51M

1.23M

3.73M

5

Proximity TC 3′ end and Ensembl transcript in bases

NA

−100 to 5000

−100 to +100

NA

−100 to 5000

−100 to +100

6

Number of counts calling genes (no MT)

65M

21M

14M

60M

24M

19M

7

[Number of counts used to call transcripts]

-

27M

16M

-

31M

20M

8

Number of genes detected (no MT)

27732

14544

9906

28455

17138

11419

9

[Number of transcripts detected]

-

21220

10574

-

25034

12144

10

Protein-coding genes with pval obtained

24256

13763

9542

25012

16220

10967

11

Protein-coding genes with adj pval obtained

15883

12139

8555

22034

14886

10184

12

And with an adj pval <=0.05

1468

227

162

9529

2649

2013

13

And fold change >=2

235

141

103

2255

1534

1121

14

Genes identified by RNA-seq and TC

      

15

Genes from row 10 identified by both

11114

11114

 

14791

14791

 

16

And with an adj pval <=0.05 and FC >2

131

126

 

1443

1427