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Table 1 Comparison of seed sensitivity distributions between models. Seed population sizes for (12,10,0), (14,8,0), (16,6,0) are 352716, 203490 and 54264, respectively. Explanation of columns: ymin, max– minimum and maximum sensitivity in the compared model; x max – maximum sensitivity in the reference model; tα/2σ y – half the length of the 95% prediction interval (tα/2= 1.96 when α = 0.05); T(x, y) = ((a + bxmax + c x max 2 MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaem4yamMaemiEaG3aa0baaSqaaiGbc2gaTjabcggaHjabcIha4bqaaiabikdaYaaaaaa@33E0@ + d x max 3 MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGaemizaqMaemiEaG3aa0baaSqaaiGbc2gaTjabcggaHjabcIha4bqaaiabiodaZaaaaaa@33E4@ ) - tα/2σ y )/ymax, where a, b, c and d are the coefficients of the regression curve, and σ y is the estimated regression standard error of prediction for a given x value. Because the number of values is large, σ y σ for all y. Outliers are determined as those points that satisfy either of the following two criteria: y - y ^ MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGafmyEaKNbaKaaaaa@2D5E@ > 2.5σ (U) or y ^ MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGafmyEaKNbaKaaaaa@2D5E@ - y > 2.5σ (L). Here, y ^ MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaGafmyEaKNbaKaaaaa@2D5E@ = a + bx + cx2 + dx3.

From: Universal seeds for cDNA-to-genome comparison

 

x max

y max

y min

t α/2 σ y

T(x, y)

U

L

W = 12

       

CHK-DOG

0.742

0.992

0.936

0.002

0.996

0.04%

1.75%

DOG-CHK

0.992

0.742

0.429

0.028

0.947

0.99%

0.09%

CHK-MUS

0.742

0.964

0.827

0.005

0.991

0.01%

1.74%

MUS-CHK

0.964

0.742

0.429

0.017

0.978

1.70%

0.00%

CHK-ZFS

0.742

0.476

0.196

0.006

0.995

1.52%

0.10%

ZFS-CHK

0.476

0.742

0.429

0.006

0.984

0.04%

1.36%

DOG-MUS

0.992

0.964

0.827

0.004

0.996

1.63%

0.03%

MUS-DOG

0.964

0.992

0.936

0.001

0.999

0.02%

1.95%

DOG-ZFS

0.992

0.476

0.196

0.033

0.866

1.59%

0.01%

ZFS-DOG

0.476

0.992

0.936

0.003

0.995

0.03%

1.71%

MUS-ZFS

0.964

0.476

0.196

0.023

0.934

1.98%

0.00%

ZFS-MUS

0.476

0.964

0.827

0.006

0.988

0.01%

1.70%

W = 14

       

CHK-DOG

0.567

0.971

0.900

0.005

0.990

0.00%

1.71%

DOG-CHK

0.971

0.567

0.335

0.027

0.913

3.26%

0.00%

CHK-MUS

0.567

0.901

0.758

0.009

0.985

0.00%

1.66%

MUS-CHK

0.901

0.567

0.335

0.018

0.953

1.89%

0.00%

CHK-ZFS

0.567

0.299

0.132

0.005

0.979

1.61%

0.01%

ZFS-CHK

0.299

0.567

0.335

0.007

0.983

0.00%

1.48%

DOG-MUS

0.971

0.901

0.758

0.005

0.996

1.43%

0.01%

MUS-DOG

0.901

0.971

0.900

0.002

0.997

0.01%

1.69%

DOG-ZFS

0.971

0.299

0.132

0.024

0.836

1.65%

0.00%

ZFS-DOG

0.299

0.971

0.900

0.006

0.988

0.00%

1.66%

MUS-ZFS

0.901

0.299

0.132

0.018

0.882

2.09%

0.00%

ZFS-MUS

0.299

0.901

0.758

0.012

0.978

0.00%

1.70%

W = 16

       

CHK-DOG

0.405

0.930

0.821

0.010

0.982

0.00%

1.98%

DOG-CHK

0.930

0.405

0.248

0.021

0.907

1.65%

0.00%

CHK-MUS

0.405

0.808

0.633

0.013

0.976

0.00%

1.98%

MUS-CHK

0.808

0.405

0.248

0.015

0.944

1.86%

0.00%

CHK-ZFS

0.405

0.176

0.086

0.004

0.959

1.99%

0.00%

ZFS-CHK

0.176

0.405

0.248

0.006

0.986

0.00%

1.90%

DOG-MUS

0.930

0.808

0.633

0.006

0.991

1.62%

0.00%

MUS-DOG

0.808

0.930

0.821

0.003

0.996

0.04%

1.49%

DOG-ZFS

0.930

0.176

0.086

0.015

0.804

1.68%

0.00%

ZFS-DOG

0.176

0.930

0.821

0.012

0.976

0.00%

1.97%

MUS-ZFS

0.808

0.176

0.086

0.012

0.858

1.96%

0.00%

ZFS-MUS

0.176

0.808

0.633

0.018

0.964

0.00%

1.97%