Table 1 Obtain the RNA-Seq clean data.

From: Inner Mongolian Cashmere Goat Secondary Follicle Development Regulation Research Based on mRNA-miRNA Co-analysis

Sample

Raw data

Q20(%)

Clean data

Q20(%)

FP-45d-1

10474685176

9415987952 (89.89%)

9205473650

8504592068 (92.39%)

FP-45d-2

11576565094

10401228718 (89.85%)

10442107411

9615872599 (92.09%)

FP-45d-3

11516657958

10417424323 (90.46%)

9297102448

8633474874 (92.86%)

FP-55d-1

11574536258

10458779016 (90.36%)

9984099030

9265615364 (92.80%)

FP-55d-2

10099252970

8833019818 (87.46%)

7981216720

7232763577 (90.62%)

FP-55d-3

14361793616

12887754687 (89.74%)

12675556365

11691886261 (92.24%)

FP-65d-1

10425039698

9366852432 (89.85%)

9148801979

8449997648 (92.36%)

FP-65d-2

11213896918

10093011637 (90.00%)

9502256844

8801158209 (92.62%)

FP-65d-3

11291800536

10268565021 (90.94%)

10097029771

9399156690 (93.09%)

FP-75d-1

3802435500

3561521649 (93.66%)

3723142144

3507969123 (94.22%)

FP-75d-2

4234597500

3973241698 (93.83%)

4145546791

3911512268 (94.35%)

FP-75d-3

3387849000

3173001276 (93.66%)

3315942774

3123835278 (94.21%)

FP-95d-1

3796614900

3559327755 (93.75%)

3716462474

3504404467 (94.29%)

FP-95d-2

3778704000

3544061516 (93.79%)

3696702322

3487323617 (94.34%)

FP-95d-3

3376559100

3147221091 (93.21%)

3296243262

3093396327 (93.85%)

FP-115d-1

3565607700

3335669909 (93.55%)

3486027899

3281285963 (94.13%)

FP-115d-2

3556965600

3319319387 (93.32%)

3477546153

3265864880 (93.91%)

FP-115d-3

3451999200

3245621202 (94.02%)

3387012229

3200797881 (94.50%)

FP-135d-1

3599433900

3370862722 (93.65%)

3524056472

3319484507 (94.19%)

FP-135d-2

3405073200

3196649921 (93.88%)

3337974518

3151203478 (94.40%)

FP-135d-3

3083014200

2886040524 (93.61%)

3019391433

2843133915 (94.16%)