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Table 2 Number of genes with significantly different counts

From: Differentially expressed genes from RNA-Seq and functional enrichment results are affected by the choice of single-end versus paired-end reads and stranded versus non-stranded protocols

Experiment

1

2

3

4

Genes tested

15456

12702

14016

14166

biotype

    

protein coding

14328 (92.7%)

11891 (93.6%)

12009 (85.7%)

12530 (88.5%)

non protein coding

1027 (6.6%)

733 (5.8%)

1988 (14.2%)

1620 (11.4%)

- pseudogenes

232

145

452

396

- antisense

242

124

604

532

SEvsPE DEGsa

111 (0.7%)

176 (1.4%)

327 (2.3%)

608 (4.3%)

biotype

    

protein codingb

29 (26.1%)

93 (52.8%)

139 (42.5%)

396 (65.1%)

non protein codingc

82 (73.9%)

74 (42%)

186 (56.9%)

208 (34.2%)

- pseudogenesd

76 (68.5)

50 (28.4%)

105 (32.1%)

150 (24.7%)

- antisensee

1 (0.9%)

3 (1.7%)

13 (4.0%)

12 (2.0%)

NSvsPE DEGsf

NA

729 (5.74%)

1719 (12.26%)

1615 (11.4%)

biotype

    

protein codingb

 

555 (76.1%)

1167 (67.9%)

1291 (79.9%)

non protein codingc

 

167 (22.9%)

543 (31.6%)

317 (19.6%)

- pseudogenesd

 

15 (2.1%)

79 (4.6%)

45 (2.8%)

- antisensee

 

48 (6.6%)

271 (15.8%)

167 (10.3%)

  1. a Differential expression (DE) test of Controls in PE data (n = 3) versus Controls in SE data (n = 3) using edgeR, FDR < 0.05
  2. b Number of DE protein coding genes and proportion as a percentage of the tested genes
  3. c Number of DE non-protein-coding genes and proportion as a percentage of the tested genes
  4. dNumber of DE pseudogenes
  5. e Number of DE genes
  6. f DE test of Controls in PE data (n = 3) versus Controls in NS data (n = 3) using edgeR, FDR < 0.05