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Items: 1 to 20 of 183

1.

Spectrum: joint Bayesian inference of population structure and recombination events.

Sohn KA, Xing EP.

Bioinformatics. 2007 Jul 1;23(13):i479-89.

PMID:
17646333
2.

The effect of haplotype-block definitions on inference of haplotype-block structure and htSNPs selection.

Ding K, Zhou K, Zhang J, Knight J, Zhang X, Shen Y.

Mol Biol Evol. 2005 Jan;22(1):148-59. Epub 2004 Sep 15.

PMID:
15371531
3.

Recombination hotspots as a point process.

De Iorio M, de Silva E, Stumpf MP.

Philos Trans R Soc Lond B Biol Sci. 2005 Aug 29;360(1460):1597-603.

4.
5.

High density linkage disequilibrium mapping using models of haplotype block variation.

Greenspan G, Geiger D.

Bioinformatics. 2004 Aug 4;20 Suppl 1:i137-44.

PMID:
15262792
6.

Bayesian inference of fine-scale recombination rates using population genomic data.

Wang Y, Rannala B.

Philos Trans R Soc Lond B Biol Sci. 2008 Dec 27;363(1512):3921-30. doi: 10.1098/rstb.2008.0172.

7.

SequenceLDhot: detecting recombination hotspots.

Fearnhead P.

Bioinformatics. 2006 Dec 15;22(24):3061-6. Epub 2006 Oct 23.

PMID:
17060358
8.

Efficient computation of minimum recombination with genotypes (not haplotypes).

Wu Y, Gusfield D.

J Bioinform Comput Biol. 2007 Apr;5(2a):181-200.

PMID:
17589959
9.

A statistical framework for haplotype block inference.

Yuan A, Chen G, Rotimi C, Bonney GE.

J Bioinform Comput Biol. 2005 Oct;3(5):1021-38.

PMID:
16278945
10.

Comparison of Bayesian and maximum-likelihood inference of population genetic parameters.

Beerli P.

Bioinformatics. 2006 Feb 1;22(3):341-5. Epub 2005 Nov 29.

PMID:
16317072
11.

Modeling associations between genetic markers using Bayesian networks.

Villanueva E, Maciel CD.

Bioinformatics. 2010 Sep 15;26(18):i632-7. doi: 10.1093/bioinformatics/btq392.

12.

Linkage disequilibrium and inference of ancestral recombination in 538 single-nucleotide polymorphism clusters across the human genome.

Clark AG, Nielsen R, Signorovitch J, Matise TC, Glanowski S, Heil J, Winn-Deen ES, Holden AL, Lai E.

Am J Hum Genet. 2003 Aug;73(2):285-300. Epub 2003 Jul 3.

13.

A whole genome long-range haplotype (WGLRH) test for detecting imprints of positive selection in human populations.

Zhang C, Bailey DK, Awad T, Liu G, Xing G, Cao M, Valmeekam V, Retief J, Matsuzaki H, Taub M, Seielstad M, Kennedy GC.

Bioinformatics. 2006 Sep 1;22(17):2122-8. Epub 2006 Jul 15.

PMID:
16845142
14.

Computing recombination networks from binary sequences.

Huson DH, Kloepper TH.

Bioinformatics. 2005 Sep 1;21 Suppl 2:ii159-65.

PMID:
16204096
15.

Critical assessment of coalescent simulators in modeling recombination hotspots in genomic sequences.

Yang T, Deng HW, Niu T.

BMC Bioinformatics. 2014 Jan 3;15:3. doi: 10.1186/1471-2105-15-3.

16.

Bayesian inference of shared recombination hotspots between humans and chimpanzees.

Wang Y, Rannala B.

Genetics. 2014 Dec;198(4):1621-8. doi: 10.1534/genetics.114.168377. Epub 2014 Sep 26.

17.

BAPS 2: enhanced possibilities for the analysis of genetic population structure.

Corander J, Waldmann P, Marttinen P, Sillanpää MJ.

Bioinformatics. 2004 Oct 12;20(15):2363-9. Epub 2004 Apr 8.

PMID:
15073024
18.

SlidingBayes: exploring recombination using a sliding window approach based on Bayesian phylogenetic inference.

Paraskevis D, Deforche K, Lemey P, Magiorkinis G, Hatzakis A, Vandamme AM.

Bioinformatics. 2005 Apr 1;21(7):1274-5. Epub 2004 Nov 16.

PMID:
15546940
19.

Dual multiple change-point model leads to more accurate recombination detection.

Minin VN, Dorman KS, Fang F, Suchard MA.

Bioinformatics. 2005 Jul 1;21(13):3034-42. Epub 2005 May 24.

PMID:
15914546
20.

Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations.

Corander J, Marttinen P, Sirén J, Tang J.

BMC Bioinformatics. 2008 Dec 16;9:539. doi: 10.1186/1471-2105-9-539.

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