Structure Selector Results

Your Job ID is 1505099128, the file will be deleted in 7 days

Download all tables and plots

Dataset Name: dat_1

Puechmaille Method

Puechmaille, S. J. (2016),The program structure does not reliably recover the correct population structure when sampling is uneven: subsampling and new estimators alleviate the problem. Molecular Ecology Resources, 16: 608–627. [link]

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.5):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	4	4	4	4	1
5	3	3	3	3	1
6	4	5	4	5	1
7	5	4	5	4	1
8	4	2	4	2	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	5	5	5	5

download table dat_1.MedK.0.5.tsv

download plots dat_1.MedK.0.5.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.6):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	4	4	4	4	1
5	3	3	3	3	1
6	3	2	3	2	1
7	4	4	4	4	1
8	2	2	2	2	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	4	4	4	4

download table dat_1.MedK.0.6.tsv

download plots dat_1.MedK.0.6.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.7):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	3	3	3	3	1
5	3	1	3	1	1
6	2	1	2	1	1
7	3	0	3	0	1
8	1	0	1	0	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	3	3	3	3

download table dat_1.MedK.0.7.tsv

download plots dat_1.MedK.0.7.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.8):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	1	0	1	0	1
3	2	1	2	1	1
4	1	0	1	0	1
5	1	0	1	0	1
6	1	0	1	0	1
7	1	0	1	0	1
8	1	0	1	0	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	2	1	2	1

download table dat_1.MedK.0.8.tsv

download plots dat_1.MedK.0.8.pdf

Likelihood:

download plots dat_1.likelihood.pdf

download plots dat_1.cv.pdf

Choose K Method

Anil Raj, Matthew Stephens, and Jonathan K. Pritchard. (2014), fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets, Genetics, 197:573-589 [link]

Model complexity that maximizes likelihood is 1, likelihood is -1.3833502955
Model complexity that minimizes CV error is 3, CV error is 0.6821469
Model components used to explain structure in data is 1

Select specific K = to generate graphical representations

Computational:

Search method:

CLUMPP: default parameters are the LargeKGreedy algorithm, random input order, and 2000 repeats

Full search
Greedy
LargeKGreedy

Please choose the number of random input orders repeats:

MCL: threshold for similarity scores:

Default (dynamic)

User Defined: (0≤X<1)

DISTRUCT: threshold for minimal cluster size:

Default

User Defined: (0≤X<1)

Graphical:

Upload a drawparams file (optional): example

Upload a colors file (optional): example

Email:

Dataset Name: dat_2

Puechmaille Method

Puechmaille, S. J. (2016),The program structure does not reliably recover the correct population structure when sampling is uneven: subsampling and new estimators alleviate the problem. Molecular Ecology Resources, 16: 608–627. [link]

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.5):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	4	4	4	4	1
5	3	3	3	3	1
6	4	5	4	5	1
7	5	4	5	4	1
8	4	2	4	2	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	5	5	5	5

download table dat_2.MedK.0.5.tsv

download plots dat_2.MedK.0.5.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.6):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	4	4	4	4	1
5	3	3	3	3	1
6	3	2	3	2	1
7	4	4	4	4	1
8	2	2	2	2	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	4	4	4	4

download table dat_2.MedK.0.6.tsv

download plots dat_2.MedK.0.6.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.7):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	3	3	3	3	1
5	3	1	3	1	1
6	2	1	2	1	1
7	3	0	3	0	1
8	1	0	1	0	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	3	3	3	3

download table dat_2.MedK.0.7.tsv

download plots dat_2.MedK.0.7.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.8):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	1	0	1	0	1
3	2	1	2	1	1
4	1	0	1	0	1
5	1	0	1	0	1
6	1	0	1	0	1
7	1	0	1	0	1
8	1	0	1	0	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	2	1	2	1

download table dat_2.MedK.0.8.tsv

download plots dat_2.MedK.0.8.pdf

Likelihood:

download plots dat_2.likelihood.pdf

download plots dat_2.cv.pdf

Choose K Method

Anil Raj, Matthew Stephens, and Jonathan K. Pritchard. (2014), fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets, Genetics, 197:573-589 [link]

Model complexity that maximizes likelihood is 1, likelihood is -1.3833502955
Model complexity that minimizes CV error is 3, CV error is 0.6821469
Model components used to explain structure in data is 1

Select specific K = to generate graphical representations

Computational:

Search method:

CLUMPP: default parameters are the LargeKGreedy algorithm, random input order, and 2000 repeats

Full search
Greedy
LargeKGreedy

Please choose the number of random input orders repeats:

MCL: threshold for similarity scores:

Default (dynamic)

User Defined: (0≤X<1)

DISTRUCT: threshold for minimal cluster size:

Default

User Defined: (0≤X<1)

Graphical:

Upload a drawparams file (optional): example

Upload a colors file (optional): example

Email:

Dataset Name: dat_3

Puechmaille Method

Puechmaille, S. J. (2016),The program structure does not reliably recover the correct population structure when sampling is uneven: subsampling and new estimators alleviate the problem. Molecular Ecology Resources, 16: 608–627. [link]

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.5):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	4	4	4	4	1
5	3	3	3	3	1
6	4	5	4	5	1
7	5	4	5	4	1
8	4	2	4	2	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	5	5	5	5

download table dat_3.MedK.0.5.tsv

download plots dat_3.MedK.0.5.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.6):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	4	4	4	4	1
5	3	3	3	3	1
6	3	2	3	2	1
7	4	4	4	4	1
8	2	2	2	2	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	4	4	4	4

download table dat_3.MedK.0.6.tsv

download plots dat_3.MedK.0.6.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.7):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	3	3	3	3	1
5	3	1	3	1	1
6	2	1	2	1	1
7	3	0	3	0	1
8	1	0	1	0	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	3	3	3	3

download table dat_3.MedK.0.7.tsv

download plots dat_3.MedK.0.7.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.8):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	1	0	1	0	1
3	2	1	2	1	1
4	1	0	1	0	1
5	1	0	1	0	1
6	1	0	1	0	1
7	1	0	1	0	1
8	1	0	1	0	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	2	1	2	1

download table dat_3.MedK.0.8.tsv

download plots dat_3.MedK.0.8.pdf

Likelihood:

download plots dat_3.likelihood.pdf

download plots dat_3.cv.pdf

Choose K Method

Anil Raj, Matthew Stephens, and Jonathan K. Pritchard. (2014), fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets, Genetics, 197:573-589 [link]

Model complexity that maximizes likelihood is 1, likelihood is -1.3833502955
Model complexity that minimizes CV error is 3, CV error is 0.6821469
Model components used to explain structure in data is 1

Select specific K = to generate graphical representations

Computational:

Search method:

CLUMPP: default parameters are the LargeKGreedy algorithm, random input order, and 2000 repeats

Full search
Greedy
LargeKGreedy

Please choose the number of random input orders repeats:

MCL: threshold for similarity scores:

Default (dynamic)

User Defined: (0≤X<1)

DISTRUCT: threshold for minimal cluster size:

Default

User Defined: (0≤X<1)

Graphical:

Upload a drawparams file (optional): example

Upload a colors file (optional): example

Email:

Dataset Name: dat_4

Puechmaille Method

Puechmaille, S. J. (2016),The program structure does not reliably recover the correct population structure when sampling is uneven: subsampling and new estimators alleviate the problem. Molecular Ecology Resources, 16: 608–627. [link]

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.5):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	4	4	4	4	1
5	3	3	3	3	1
6	4	5	4	5	1
7	5	4	5	4	1
8	4	2	4	2	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	5	5	5	5

download table dat_4.MedK.0.5.tsv

download plots dat_4.MedK.0.5.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.6):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	4	4	4	4	1
5	3	3	3	3	1
6	3	2	3	2	1
7	4	4	4	4	1
8	2	2	2	2	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	4	4	4	4

download table dat_4.MedK.0.6.tsv

download plots dat_4.MedK.0.6.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.7):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	2	2	2	2	1
3	3	3	3	3	1
4	3	3	3	3	1
5	3	1	3	1	1
6	2	1	2	1	1
7	3	0	3	0	1
8	1	0	1	0	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	3	3	3	3

download table dat_4.MedK.0.7.tsv

download plots dat_4.MedK.0.7.pdf

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.8):

K	MedMed	MedMean	MaxMed	MaxMean	Reps
1	1	1	1	1	1
2	1	0	1	0	1
3	2	1	2	1	1
4	1	0	1	0	1
5	1	0	1	0	1
6	1	0	1	0	1
7	1	0	1	0	1
8	1	0	1	0	1
	MedMedK	MedMeaK	MaxMedK	MaxMeaK
ALL	2	1	2	1

download table dat_4.MedK.0.8.tsv

download plots dat_4.MedK.0.8.pdf

Likelihood:

download plots dat_4.likelihood.pdf

download plots dat_4.cv.pdf

Choose K Method

Anil Raj, Matthew Stephens, and Jonathan K. Pritchard. (2014), fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets, Genetics, 197:573-589 [link]

Model complexity that maximizes likelihood is 1, likelihood is -1.3833502955
Model complexity that minimizes CV error is 3, CV error is 0.6821469
Model components used to explain structure in data is 1

Select specific K = to generate graphical representations

Computational:

Search method:

CLUMPP: default parameters are the LargeKGreedy algorithm, random input order, and 2000 repeats

Full search
Greedy
LargeKGreedy

Please choose the number of random input orders repeats:

MCL: threshold for similarity scores:

Default (dynamic)

User Defined: (0≤X<1)

DISTRUCT: threshold for minimal cluster size:

Default

User Defined: (0≤X<1)

Graphical:

Upload a drawparams file (optional): example

Upload a colors file (optional): example

Email:

CAS Key Laboratory of Marine Ecology and Environmental Sciences
Institute of Oceanology Chinese Academy of Sciences
7 Nanhai Road, Qingdao 266071
Shandong, China
P: (86) 0532-82898894

Your Job ID is 1505099128, the file will be deleted in 7 days

Dataset Name: dat_1

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.5):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.6):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.7):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.8):

Likelihood:

Model complexity that maximizes likelihood is 1, likelihood is -1.3833502955

Model complexity that minimizes CV error is 3, CV error is 0.6821469

Model components used to explain structure in data is 1

Select specific K = 1 2 3 4 5 6 7 8 ALL to generate graphical representations

Dataset Name: dat_2

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.5):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.6):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.7):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.8):

Likelihood:

Model complexity that maximizes likelihood is 1, likelihood is -1.3833502955

Model complexity that minimizes CV error is 3, CV error is 0.6821469

Model components used to explain structure in data is 1

Select specific K = 1 2 3 4 5 6 7 8 ALL to generate graphical representations

Dataset Name: dat_3

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.5):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.6):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.7):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.8):

Likelihood:

Model complexity that maximizes likelihood is 1, likelihood is -1.3833502955

Model complexity that minimizes CV error is 3, CV error is 0.6821469

Model components used to explain structure in data is 1

Select specific K = 1 2 3 4 5 6 7 8 ALL to generate graphical representations

Dataset Name: dat_4

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.5):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.6):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.7):

MedMeaK, MaxMeaK, MedMedK, MaxMedK (Threshold=0.8):

Likelihood:

Model complexity that maximizes likelihood is 1, likelihood is -1.3833502955

Model complexity that minimizes CV error is 3, CV error is 0.6821469

Model components used to explain structure in data is 1

Select specific K = 1 2 3 4 5 6 7 8 ALL to generate graphical representations

Select specific K = to generate graphical representations

Select specific K = to generate graphical representations

Select specific K = to generate graphical representations

Select specific K = to generate graphical representations