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Items: 1 to 20 of 81

1.

Population identification using genetic data.

Lawson DJ, Falush D.

Annu Rev Genomics Hum Genet. 2012;13:337-61. doi: 10.1146/annurev-genom-082410-101510. Epub 2012 Jun 11. Review.

PMID:
22703172
2.

Population model-based inter-diplotype similarity measure for accurate diplotype clustering.

Onuki R, Yamada R, Yamaguchi R, Kanehisa M, Shibuya T.

J Comput Biol. 2012 Jan;19(1):55-67. doi: 10.1089/cmb.2010.0227. Epub 2011 Dec 9.

PMID:
22149683
3.
4.
5.

The effect of close relatives on unsupervised Bayesian clustering algorithms in population genetic structure analysis.

Rodríguez-Ramilo ST, Wang J.

Mol Ecol Resour. 2012 Sep;12(5):873-84. doi: 10.1111/j.1755-0998.2012.03156.x. Epub 2012 May 28.

PMID:
22639868
6.

PCA-based population structure inference with generic clustering algorithms.

Lee C, Abdool A, Huang CH.

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S73. doi: 10.1186/1471-2105-10-S1-S73.

7.

Comparison of algorithms to infer genetic population structure from unlinked molecular markers.

Peña-Malavera A, Bruno C, Fernandez E, Balzarini M.

Stat Appl Genet Mol Biol. 2014 Aug;13(4):391-402. doi: 10.1515/sagmb-2013-0006. Review.

PMID:
24964261
8.

Inference of population structure using dense haplotype data.

Lawson DJ, Hellenthal G, Myers S, Falush D.

PLoS Genet. 2012 Jan;8(1):e1002453. doi: 10.1371/journal.pgen.1002453. Epub 2012 Jan 26.

9.

Protein structure similarity from Principle Component Correlation analysis.

Zhou X, Chou J, Wong ST.

BMC Bioinformatics. 2006 Jan 25;7:40.

10.

AMOVA-based clustering of population genetic data.

Meirmans PG.

J Hered. 2012 Sep-Oct;103(5):744-50. doi: 10.1093/jhered/ess047. Epub 2012 Aug 15.

PMID:
22896561
11.

Cross-over between discrete and continuous protein structure space: insights into automatic classification and networks of protein structures.

Pascual-García A, Abia D, Ortiz AR, Bastolla U.

PLoS Comput Biol. 2009 Mar;5(3):e1000331. doi: 10.1371/journal.pcbi.1000331. Epub 2009 Mar 27.

12.

A new method to estimate relatedness from molecular markers.

Fernández J, Toro MA.

Mol Ecol. 2006 May;15(6):1657-67.

PMID:
16629818
13.

Improving the inference of population genetic structure in the presence of related individuals.

Rodríguez-Ramilo ST, Toro MA, Wang J, Fernández J.

Genet Res (Camb). 2014;96:e003. doi: 10.1017/S0016672314000068.

PMID:
25022872
14.

Inference of population structure using genetic markers and a Bayesian model averaging approach for clustering.

Santafé G, Lozano JA, Larrañaga P.

J Comput Biol. 2008 Mar;15(2):207-20. doi: 10.1089/cmb.2007.0051.

PMID:
18312151
15.

Joint analysis of demography and selection in population genetics: where do we stand and where could we go?

Li J, Li H, Jakobsson M, Li S, Sjödin P, Lascoux M.

Mol Ecol. 2012 Jan;21(1):28-44. doi: 10.1111/j.1365-294X.2011.05308.x. Epub 2011 Oct 14. Review.

PMID:
21999307
16.

Alignment-free sequence comparison using N-dimensional similarity space.

Jayalakshmi R, Natarajan R, Vivekanandan M, Natarajan GS.

Curr Comput Aided Drug Des. 2010 Dec;6(4):290-6.

PMID:
20883198
17.

Performance comparison of gene family clustering methods with expert curated gene family data set in Arabidopsis thaliana.

Yang K, Zhang L.

Planta. 2008 Aug;228(3):439-47. doi: 10.1007/s00425-008-0748-7. Epub 2008 May 21.

PMID:
18493791
18.

Composite likelihood estimation of demographic parameters.

Garrigan D.

BMC Genet. 2009 Nov 12;10:72. doi: 10.1186/1471-2156-10-72.

19.

Genome-wide insights into the patterns and determinants of fine-scale population structure in humans.

Biswas S, Scheinfeldt LB, Akey JM.

Am J Hum Genet. 2009 May;84(5):641-50. doi: 10.1016/j.ajhg.2009.04.015.

20.

Fine mapping of disease genes using tagging SNPs.

Sjölander A, Hössjer O, Hartman LW, Humphreys K.

Ann Hum Genet. 2007 Nov;71(Pt 6):815-27. Epub 2007 Jun 22.

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