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Table 3 The performance comparison on a simulated data set for g e=0.08

From: Joint haplotype assembly and genotype calling via sequential Monte Carlo algorithm

 

ParticleHap

HapCUT

ReFHap

 

n

c

ImpGeAc

ReconRate

Time(s)

ReconRate

Time(s)

ReconRate

Time(s)

100

4

0.6211

0.9618

0.02

0.9193

0.66

0.9009

0.11

 

6

0.5941

0.9610

0.02

0.9184

0.86

0.8997

0.25

 

8

0.5970

0.9585

0.03

0.9184

1.04

0.9017

0.56

 

10

0.5845

0.9572

0.03

0.9193

1.19

0.9041

1.26

200

4

0.6262

0.9615

0.08

0.9186

1.80

0.8979

0.27

 

6

0.5938

0.9418

0.09

0.9198

2.30

0.9021

0.89

 

8

0.6050

0.9389

0.10

0.9193

2.75

0.9019

2.53

 

10

0.5997

0.9438

0.12

0.9193

3.16

0.9039

5.84

300

4

0.6245

0.9432

0.18

0.9197

3.43

0.8995

0.53

 

6

0.6069

0.9397

0.21

0.9198

4.49

0.9009

2.11

 

8

0.6058

0.9315

0.23

0.9186

5.54

0.9009

6.29

 

10

0.5792

0.9192

0.27

0.9187

6.37

0.9029

15.00

  1. A comparison of reconstruction rate(ReconRate) and running time(Time) for different haplotype assembly algorithms, ParticleHap, HapCUT and ReFHap, on the simulated data for g e=0.08. For ParticleHap, the improvement rates of genotyping accuracy (ImpGeAc) are also reported
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BMC Bioinformatics

ISSN: 1471-2105

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