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Table 4 MSE results of QualComp when applied to the M. musculus dataset

From: QualComp: a new lossy compressor for quality scores based on rate distortion theory

R

C

R’

MSE

0

1

0

143.0

0

2

0

37.58

0

3

0

27.49

0.33

1

0.3343

16.46

0.33

2

0.3420

14.39

0.33

3

0.3459

13.09

0.66

1

0.6685

12.94

0.66

2

0.6811

11.00

0.66

3

0.6825

9.82

1.00

1

1.0026

10.01

1.00

2

1.0153

8.59

1.00

3

1.0278

7.35

2.00

1

2.0051

4.58

2.00

2

2.0177

3.76

2.00

3

2.0300

3.12

  1. MSE obtained by our lossy compression algorithm for different rates (R) and number of clusters (C) on the M. musculus dataset. R’ denotes the actual rate obtained after compression. Note that the effective rate R’, while still close to R, grows with the number of clusters.