VAB_py_code.tar.bz2: Vilain M., Aris-Brosou S. 2023. Machine learning algorithms associate case numbers with SARS-CoV-2 variants rather than with impactful mutations. Viruses. 15:1226. https://doi.org/10.3390/v15061226
Lemieux.etal.tar.bz2: Lemieux A., Colby G.A, Poulain A.J., Aris-Brosou S. 2022. Viral spillover risk increases with climate change in High Arctic lake sediments. Proceedings of the Royal Society B. 289(1985), 20221073 https://doi.org/10.1098/rspb.2022.1073
Wallbank.ArisBrosou.tar.bz2: Wellbank C. and Aris-Brosou S. 2021. Viral evolutionary dynamics predict Influenza-Like-Illnesses in patients. https://doi.org/10.1101/2021.01.31.429026
API_scripts.zip (3 files): Aris-Brosou S., Parent L. and Ibeh N. 2019. Viral long-term evolutionary strategies favor stability over proliferation. Viruses. 11:677. https://doi.org/10.1101/539239
AncHumScripts.tar.bz2: Aris-Brosou S. 2019. Direct evidence of an increasing mutational load in humans. Molecular Biology and Evolution. 36:2823–2829. https://doi.org/10.1093/molbev/msz192
LHDA_data.tar.bz2: Long G.S., Hussen M., Dench J. and Aris-Brosou S. 2019. Identifying genetic determinants of complex phenotypes from whole genome sequence data. BMC Genomics. 20:470. https://doi.org/10.1186/s12864-019-5820-0
Byrne_etal_SeqAlignments.tar.bz2: Byrne L., Chapleau F. and Aris-Brosou S. 2018. How the Central American Seaway and an ancient northern passage affected flatfish diversification. Molecular Biology and Evolution. 35:1982–1989. https://doi.org/10.1093/molbev/msy104
AIN_data_scripts.tar.bz2: Aris-Brosou S., Ibeh N. and Noel J. 2017. Viral outbreaks involve destabilized viruses: evidence from Ebola, Influenza and Zika. Scientific Reports. 7:11881. https://doi.org/10.1038/s41598-017-12268-9
Ibeh.etal.tar.bz2: Ibeh N., Nshogozabahizi J.C. and Aris-Brosou S. 2016. Both epistasis and diversifying selection drive the structural evolution of the EBOV Glycoprotein mucin-like domain. Journal of Virology. 90:5475-5484. https://doi.org/10.1128/JVI.00322-16
Labonte.ArisBrosou.tar.bz2: Labonté K. and Aris-Brosou S. 2016. Automatic detection of rate change in large data sets with an unsupervised approach: the case of influenza viruses. Genome. 59:253-262. https://doi.org/10.1139/gen-2015-0163
Garcia.ArisBrosou.tar.bz2: Garcia V. and Aris-Brosou S. 2014. Comparative dynamics and distribution of influenza drug resistance acquisition to protein M2 and neuraminidase inhibitors. Molecular Biology and Evolution. 31(2):355-363. https://doi.org/10.1093/molbev/mst204
Juwaeriah.ArisBrosou.tar.bz2: Abdussamad J. and Aris-Brosou S. 2011. The nonadaptive nature of the H1N1 2009 Swine Flu pandemic contrasts with the adaptive facilitation of transmission to a new host. BMC Evolutionary Biology. 11:6. https://doi.org/10.1186/1471-2148-11-6
recomb2010.tar.bz2: Aris-Brosou S. 2010. A simple measure of the dynamics of segmented genomes: an application to influenza. RECOMB-CG 2010, Lecture Notes in Bioinformatics. 6398:149-160. https://doi.org/10.1007/978-3-642-16181-0_13
miscel_scripts: scripts written for various projects (check script headers for details).