Foll M - Search Results

1

Sunnåker M, Busetto AG, Numminen E, Corander J, Foll M, Dessimoz C. Sunnåker M, et al. Among authors: foll m. PLoS Comput Biol. 2013;9(1):e1002803. doi: 10.1371/journal.pcbi.1002803. Epub 2013 Jan 10. PLoS Comput Biol. 2013. PMID: 23341757 Free PMC article.

2

In defence of model-based inference in phylogeography.

Beaumont MA, Nielsen R, Robert C, Hey J, Gaggiotti O, Knowles L, Estoup A, Panchal M, Corander J, Hickerson M, Sisson SA, Fagundes N, Chikhi L, Beerli P, Vitalis R, Cornuet JM, Huelsenbeck J, Foll M, Yang Z, Rousset F, Balding D, Excoffier L. Beaumont MA, et al. Among authors: foll m. Mol Ecol. 2010 Feb;19(3):436-446. doi: 10.1111/j.1365-294X.2009.04515.x. Epub 2010 Jan 11. Mol Ecol. 2010. PMID: 29284924 Free PMC article.

3

An approximate Bayesian computation approach to overcome biases that arise when using amplified fragment length polymorphism markers to study population structure.

Foll M, Beaumont MA, Gaggiotti O. Foll M, et al. Genetics. 2008 Jun;179(2):927-39. doi: 10.1534/genetics.107.084541. Epub 2008 May 27. Genetics. 2008. PMID: 18505879 Free PMC article.

4

WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data.

Foll M, Shim H, Jensen JD. Foll M, et al. Mol Ecol Resour. 2015 Jan;15(1):87-98. doi: 10.1111/1755-0998.12280. Epub 2014 Jun 11. Mol Ecol Resour. 2015. PMID: 24834845

5

A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: a Bayesian perspective.

Foll M, Gaggiotti O. Foll M, et al. Genetics. 2008 Oct;180(2):977-93. doi: 10.1534/genetics.108.092221. Epub 2008 Sep 9. Genetics. 2008. PMID: 18780740 Free PMC article.

6

Widespread signals of convergent adaptation to high altitude in Asia and america.

Foll M, Gaggiotti OE, Daub JT, Vatsiou A, Excoffier L. Foll M, et al. Am J Hum Genet. 2014 Oct 2;95(4):394-407. doi: 10.1016/j.ajhg.2014.09.002. Epub 2014 Sep 25. Am J Hum Genet. 2014. PMID: 25262650 Free PMC article.

7

Detecting and Quantifying Changing Selection Intensities from Time-Sampled Polymorphism Data.

Shim H, Laurent S, Matuszewski S, Foll M, Jensen JD. Shim H, et al. Among authors: foll m. G3 (Bethesda). 2016 Apr 7;6(4):893-904. doi: 10.1534/g3.115.023200. G3 (Bethesda). 2016. PMID: 26869618 Free PMC article.

8

Influenza virus drug resistance: a time-sampled population genetics perspective.

Foll M, Poh YP, Renzette N, Ferrer-Admetlla A, Bank C, Shim H, Malaspinas AS, Ewing G, Liu P, Wegmann D, Caffrey DR, Zeldovich KB, Bolon DN, Wang JP, Kowalik TF, Schiffer CA, Finberg RW, Jensen JD. Foll M, et al. PLoS Genet. 2014 Feb 27;10(2):e1004185. doi: 10.1371/journal.pgen.1004185. eCollection 2014 Feb. PLoS Genet. 2014. PMID: 24586206 Free PMC article.

9

Estimating population structure from AFLP amplification intensity.

Foll M, Fischer MC, Heckel G, Excoffier L. Foll M, et al. Mol Ecol. 2010 Nov;19(21):4638-47. doi: 10.1111/j.1365-294X.2010.04820.x. Epub 2010 Sep 27. Mol Ecol. 2010. PMID: 20874760

10

fastsimcoal: a continuous-time coalescent simulator of genomic diversity under arbitrarily complex evolutionary scenarios.

Excoffier L, Foll M. Excoffier L, et al. Among authors: foll m. Bioinformatics. 2011 May 1;27(9):1332-4. doi: 10.1093/bioinformatics/btr124. Epub 2011 Mar 12. Bioinformatics. 2011. PMID: 21398675

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