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Table 1 Summary of RNA-seq experimental scenarios

From: On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

Scenario

Number of

Number of

Total reads

Total cost

≈ depth per

Number of

Pool size

RNA

 

RNA

libraries

counts

 

library ×106

libraries

 

pooling

 

samples

 

×106

 

(min – max)

per group

  

a Scenarios based on the Zhang neuroblastoma samples

A0 (reference)

80

80

1600

€ 21,800.00

20 (11.2–30.0)

40

-

No

A1

40

40

800

€ 10,800.00

20 (11.2–29.7)

20

-

No

A2

40

40

400

€ 7,800.00

10 (4.9–13.1)

20

-

No

A3

80

80

800

€ 15,600.00

10 (5.0–13.5)

40

-

No

A4

80

80

400

€ 12,600.00

5 (2.5–6.7)

40

-

No

B1

80

40

800

€ 11,600.00

20 (11.8–28.3)

20

2

Yes

B2

40

20

400

€ 5,800.00

20 (13.4–28.7)

10

2

Yes

B3

80

40

400

€ 8,600.00

10 (5.3–12.7)

20

2

Yes

B4

40

20

200

€ 4,300.00

10 (6.0–12.9)

10

2

Yes

C1

80

20

400

€ 6,600.00

20 (15.00–27.8)

10

4

Yes

C2

40

10

200

€ 3,300.00

20 (14.7–26.0)

5

4

Yes

C3

80

20

200

€ 5,100.00

10 (6.7–12.5)

10

4

Yes

C4

40

10

100

€ 2,550.00

10 (6.6–11.7)

5

4

Yes

b Scenarios based on the NGP neuroblastoma cell lines

A0 (reference)

18

18

270

€ 4,185.00

15 (14.3–19.3)

9

-

No

A

6

6

90

€ 1,395.00

15 (15.0–17.7)

3

-

No

B

12

6

90

€ 1,515.00

15 (14.9–17.6)

3

2

Yes

C

18

6

90

€ 1,635.00

15 (15.3–17.9)

3

3

Yes

  1. The total data generation cost of a particular scenario is given by (S×20)+(L×100)+(R×7.5), where S is the number of RNA samples (with RNA preparation cost €20.00 per sample), L is the number of libraries (with library preparation cost €100.00 per library), R is the total sequencing depth (with cost €7.50 per 1 million sequencing reads)