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Table 3 Mapping rates for different adapter clipping and read merging methods

From: EAGER: efficient ancient genome reconstruction

Sample

Method

Number of

Mapped

  

mapped reads

reads [%]

3077

Clip&Merge

1,043,672

17.31

 

MergeTrimReads

1,006,194

16.7

 

CutAdapt + FLASH

1,036,940

17.2

 

SeqPrep

949,073

15.74

 

LeeHom

981,558

16.28

 

AdapterRemoval

931,529

15.45

Jorgen625

Clip&Merge

2,703,428

17.9

 

MergeTrimReads

2,623,243

17.37

 

CutAdapt + FLASH

2,599,158

17.21

 

SeqPrep

2,595,366

17.19

 

LeeHom

2,617,909

17.34

 

AdapterRemoval

2,524,087

16.71

Refshale16

Clip&Merge

13,368,593

33.49

 

MergeTrimReads

13,812,705

34.6

 

CutAdapt + FLASH

11,533,714

28.9

 

SeqPrep

11,516,472

28.85

 

LeeHom

8,916,759

22.34

 

AdapterRemoval

11,431,717

28.64

SK2

Clip&Merge

48,536,318

89.48

 

MergeTrimReads

48,610,983

89.62

 

CutAdapt + FLASH

48,402,551

89.23

 

SeqPrep

48,240,750

88.93

 

LeeHom

48,337,919

89.11

 

AdapterRemoval

47,095,207

86.82

SK8

Clip&Merge

1,283,126

12.96

 

MergeTrimReads

1,280,119

12.93

 

CutAdapt + FLASH

1,109,626

11.21

 

SeqPrep

1,107,013

11.18

 

LeeHom

908,549

9.18

 

AdapterRemoval

1,100,326

11.12

LBK1

Clip&Merge

113,843,504

50.1

 

CutAdapt + FLASH

52,681,090

26.8

 

SeqPrep

109,491,426

51.6

 

LeeHom

111,943,019

50.9

 

AdapterRemoval

107,484,735

47.2

  1. Version 1.6 of Clip&Merge was tested. Version 1.7.1 of CutAdapt was evaluated together with version 1.2.11 of FLASH. We used SeqPrep version 1.1, and MergeTrimReads and LeeHom in the versions publicly available on 10 January 2015. Version 1.5.4 of AdapterRemoval was used. For the LBK1 sample, the MergeTrimReads method was not evaluated, as the run time of the method had exceeded those of all other methods when tested on smaller data sets by far. Overall, the tools Clip&Merge and MergeTrimReads performed best