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Table 2 After aligning the corrected reads to a reference genome, sensitivity, specificity, and gain were computed

From: FMLRC: Hybrid long read error correction using an FM-index

Method

Reads aligned

TP

FN

Sens.

Spec.

Gain

CPU (s)

Mem (GB)

E. coli K12

Canu

58982

657793

1571579

0.2951

0.9987

0.1482

17421

2.99

CoLoRMap

81485

5538038

35474190

0.1350

0.9998

0.1332

137777

23.06

FMLRC

81851

13562639

15069242

0.4737

0.9996

0.4689

11015

4.60

Jabba

75620

15553372

111609

0.9929

0.9999

0.9920

22922

63.87

LoRDEC

81138

3278911

36691424

0.0820

0.9998

0.0808

61305

2.08

LoRMA

81051

1135657

144161

0.8874

0.9999

0.8669

54240

45.72

Sprai

75532

463636

293039

0.6127

0.9999

0.5783

44302

33.53

S. cerevisiae W303

Canu

142765

1562542

5441239

0.2231

0.9992

0.1401

108175

3.33

CoLoRMap

210423

18901871

79065115

0.1929

0.9992

0.1857

2815200

45.49

FMLRC

211270

31849332

49204291

0.3929

0.9991

0.3829

68519

17.77

Jabba

223385

29893606

42670

0.9986

0.9999

0.9967

187968

367.92

LoRDEC

210151

8468872

96577493

0.0806

0.9997

0.0776

212495

3.56

LoRMA

204323

3063164

221583

0.9325

0.9999

0.9176

223358

49.52

Sprai

192670

2013269

3063751

0.3965

0.9996

0.3288

215261

49.52

A. thaliana Ler-0

Canu

574065

12002535

72017120

0.1429

0.9986

0.1030

1301971

10.92

CoLoRMap

1075381

170235345

2056204621

0.0765

0.9983

0.0737

6802359

106.08

FMLRC

1447042

442064624

1164804073

0.2751

0.993

0.2601

708910

16.26

Jabba

813495

320742341

2945173

0.9909

0.9968

0.9724

3641309

333.44

LoRDEC

1113617

78276025

2022520259

0.0373

0.9979

0.0337

1111800

3.42

LoRMA

903298

2217661

2778223

0.4439

0.9986

0.3715

17281259

70.28

Sprai

751684

18960255

30734331

0.3815

0.9996

0.3631

5996657

8.11

  1. For A. thaliana and S. cerevisiae, FMLRC produced more total true positive (corrected loci) than any other method while maintaining competitive sensitivity and gain. Methods with higher average specificity, notably Jabba, often discard a higher proportion of reads, reporting only those with the highest-confidence corrected sequence. FMLRC also requires significantly less CPU time than other hybrid error correction methods, and comparable memory. LoRDEC and FMLRC CPU time and memory results include construction of the BWT