Dernière mise à jour : juin 2023

 

 

 

Arredondo, A., Corujo, J., Noûs, C., Boitard, S., Chikhi, L., Mazet, O. (2023). Exact calculation of the expected SFS in structured populations. Soumis.

 https://biorxiv.org/cgi/content/short/2023.05.10.540112v1

 

Mazet, O., Noûs, C. (2023). Population genetics: coalescence rate and demographic parameters inference, PCI Math. & Comp. Bio., Peer Community Journal, Volume 3, article n° e53. doi : 10.24072/pcjournal.285. https://peercommunityjournal.org/articles/10.24072/pcjournal.285/

 

Boitard, S., Arredondo, A., Chikhi, L., Mazet, O (2022). Heterogeneity in effective size across the genome: effects on the Inverse Instantaneous Coalescence Rate (IICR) and implications for demographic inference under linked selection, Genetics, vol. 220, issue 3, march 2022, iyac008, https://doi.org/10.1093/genetics/iyac008

 

Teixeira, H., Salmona, J., Arredondo, A., Mourato, B., Manzi, S., Rakotondravony, R., Mazet, O., Chikhi, L., Metzger, J., Radespiel, U. (2021). Impact of model assumptions on demographic inferences – the case study of two sympatric mouse lemurs in northwestern Madagascar. BMC Ecol Evo 21, 197 (2021). https://doi.org/10.1186/s12862-021-01929-z

 

Arredondo, A., Mourato, B., Nguyen, K., Boitard, S., Rodriguez, W., Noûs, C., Mazet, O., Chikhi, L. (2021). Inferring number of populations and changes in connectivity under the n-island model. Heredity (2021). https://www.nature.com/articles/s41437-021-00426-9

 

Rodríguez, W., Mazet, O., Grusea, S., Arredondo, A., Corujo, J., Boitard, S., & Chikhi, L. (2018). The IICR and the non-stationary structured coalescent: demographic inference with arbitrary changes in population structure. Heredity, vol. 121pp 663678 (2018). https://www.nature.com/articles/s41437-018-0148-0

 

Grusea, S., Rodríguez, W., Pinchon, D., Chikhi, L., Boitard, S., & Mazet, O. (2018). Coalescence times for three genes provide sufficient information to distinguish population structure from population size changes. J. Math. Biol. (2018). https://doi.org/10.1007/s00285-018-1272-4

 

Chikhi, L., Rodríguez, W., Grusea, S., Santos, P., Boitard, S., & Mazet, O. (2018). The IICR (inverse instantaneous coalescence rate) as a summary of genomic diversity: insights into demographic inference and model choice. Heredity, vol. 120, pp 13-24. https://www.nature.com/articles/s41437-017-0005-6

 

Mazet, O., Rodriguez, W., Grusea, S., Boitard, S., & Chikhi, L. (2016). On the importance of being structured: instantaneous coalescence rates and human evolution—lessons for ancestral population size inference?. Heredity, vol. 116 (4), pp 362-371. https://www.nature.com/articles/hdy2015104

 

Mazet, O., Rodríguez, W., & Chikhi, L. (2015). Demographic inference using genetic data from a single individual: Separating population size variation from population structure. Theoretical population biology, 104, 46-58. https://doi.org/10.1016/j.tpb.2015.06.003

 

 

 

Knibbe, C., Coulon, A., Mazet, O., Fayard, J. M., & Beslon, G. (2007). A long-term evolutionary pressure on the amount of noncoding DNA. Molecular biology and evolution, 24(10), 2344-2353. https://academic.oup.com/mbe/article/24/10/2344/1074262

 

Knibbe, C., Mazet, O., Chaudier, F., Fayard, J. M., & Beslon, G. (2007). Evolutionary coupling between the deleteriousness of gene mutations and the amount of non-coding sequences. Journal of Theoretical Biology, 244(4), 621-630. https://www.sciencedirect.com/science/article/pii/S0022519306004061

 

Coulon, A., Soula, H., Mazet, O., Gandrillon, O., & Beslon, G. (2007). Modélisation cellulaire pour l'émergence de structures multiprotéiques auto-organisées. Technique et Science Informatiques, 26(1-2), 123-148. https://www.academia.edu/download/42658617/Modlisation_cellulaire_pour_lmergence_d20160213-6875-dmg7yb.pdf

 

Soula, H., Beslon, G., & Mazet, O. (2006). Spontaneous dynamics of asymmetric random recurrent spiking neural networks. Neural Computation, 18(1), 60-79. https://direct.mit.edu/neco/article-abstract/18/1/60/7018

 

Cessac, B., Mazet, O., Samuelides, M., & Soula, H. (2005). Mean field theory for random recurrent spiking neural networks. In NOLTA (Vol. 5, pp. 18-21). https://www.academia.edu/download/39235008/09e4150c231ae8e132000000.pdf

 

 

 

 

Alòs, E., Mazet, O., & Nualart, D. (2001). Stochastic calculus with respect to Gaussian processes. Annals of probability, 766-801. https://projecteuclid.org/journals/annals-of-probability/volume-29/issue-2/Stochastic-Calculus-with-Respect-to-Gaussian-Processes/10.1214/aop/1008956692.short

 

Alòs, E., Mazet, O., & Nualart, D. (2000). Stochastic calculus with respect to fractional Brownian motion with Hurst parameter lesser than 1/2. Stochastic processes and their applications, 86(1), 121-139. https://www.sciencedirect.com/science/article/pii/S0304414999000897

 

 

 

Bakry, D., & Mazet, O. (2003). Characterization of Markov semigroups on associated to some families of orthogonal polynomials. In Séminaire de Probabilités XXXVII (pp. 60-80). Springer Berlin Heidelberg. https://link.springer.com/chapter/10.1007/978-3-540-40004-2_2

 

Mazet, O. (2002). A characterization of Markov property for semigroups with invariant measure. Potential Analysis, 16(3), 279-287. https://link.springer.com/article/10.1023/A:1014027914329

 

Mazet, O. (1998). Semigroupes de Markov associés à une famille de polynômes orthogonaux (Doctoral dissertation).

 

Mazet, O. (1997). Classification des Semi-Groupes de diffusion sur IR associés à une famille de polynômes orthogonaux. In Séminaire de Probabilités XXXI (pp. 40-53). Springer Berlin Heidelberg. http://www.numdam.org/item/SPS_1997__31__40_0.pdf

 

Mazet, O. (1996). Une caractérisation des générateurs de semi-groupes markoviens. Comptes rendus de l'Académie des sciences. Série 1, Mathématique, 322(2), 165-168.