SssI depth
|
Number of bins
|
Method
|
Mean bias
|
Mean of squared differences
|
Spearman correlation
|
Wald
|
Highest posterior density
|
Quantile
|
---|
[ 0,4]
|
305,638
|
BayMeth
|
-0.04
|
0.08
|
0.36
|
0.74
|
0.89
|
0.89
|
| |
BayMeth (SssI-free)
|
-0.19
|
0.20
|
0.23
|
—
|
—
|
0.24
|
| |
Batman
|
0.22
|
0.14
|
0.31
|
—
|
—
|
0.43
|
| |
MEDIPS
|
-0.38
|
0.26
|
0.29
|
—
|
—
|
—
|
| |
BALM
|
-0.48
|
0.33
|
0.32
|
—
|
—
|
—
|
(4,7]
|
22,196
|
BayMeth
|
0.05
|
0.05
|
0.65
|
0.84
|
0.88
|
0.87
|
| |
BayMeth (SssI-free)
|
-0.01
|
0.08
|
0.42
|
—
|
—
|
0.68
|
| |
Batman
|
0.16
|
0.07
|
0.61
|
—
|
—
|
0.34
|
| |
MEDIPS
|
-0.23
|
0.11
|
0.45
|
—
|
—
|
—
|
| |
BALM
|
-0.27
|
0.15
|
0.60
|
—
|
—
|
—
|
(7,14]
|
28,871
|
BayMeth
|
0.06
|
0.04
|
0.69
|
0.84
|
0.86
|
0.86
|
| |
BayMeth (SssI-free)
|
0.02
|
0.05
|
0.57
|
—
|
—
|
0.79
|
| |
Batman
|
0.16
|
0.07
|
0.65
|
—
|
—
|
0.28
|
| |
MEDIPS
|
-0.21
|
0.10
|
0.49
|
—
|
—
|
—
|
| |
BALM
|
-0.21
|
0.11
|
0.66
|
—
|
—
|
—
|
(14,27]
|
28,928
|
BayMeth
|
0.05
|
0.03
|
0.76
|
0.81
|
0.85
|
0.82
|
| |
BayMeth (SssI-free)
|
0.08
|
0.04
|
0.72
|
—
|
—
|
0.70
|
| |
Batman
|
0.15
|
0.06
|
0.73
|
—
|
—
|
0.23
|
| |
MEDIPS
|
-0.20
|
0.09
|
0.59
|
—
|
—
|
—
|
| |
BALM
|
-0.15
|
0.07
|
0.75
|
—
|
—
|
—
|
(27,168]
|
28,719
|
BayMeth
|
0.02
|
0.03
|
0.79
|
0.73
|
0.86
|
0.78
|
| |
BayMeth (SssI-free)
|
0.11
|
0.04
|
0.77
|
—
|
—
|
0.48
|
| |
Batman
|
0.11
|
0.05
|
0.75
|
—
|
—
|
0.20
|
| |
MEDIPS
|
-0.22
|
0.10
|
0.67
|
—
|
—
|
—
|
| |
BALM
|
-0.14
|
0.06
|
0.76
|
—
|
—
|
—
|
- Results are shown for bins with a truth depth larger than the 25% quantile (cutoff is 33 reads), stratified into five groups by SssI depth. Shown are the number of bins per group, mean bias, MSE, Spearman correlation and coverage probabilities at 95% level.