43

100

• 
  Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay. Towards creating longer genetic sequences with GANs: Generation in principal component space. MLCB 2023 - 18th Conference on Machine Learning in Computational Biology, Nov 2023, Seattle, United States. ⟨hal-04419057⟩
• 
  Maxime Mahout. Logic programming tools for metabolic fluxes analysis and biological applications. Quantitative Methods [q-bio.QM]. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPASG086⟩. ⟨tel-04345852⟩
• 
  Burak Yelmen, Aurélien Decelle, Leila Lea Boulos, Antoine Szatkownik, Cyril Furtlehner, et al.. Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Computational Biology, 2023, 19 (10), pp.e1011584. ⟨10.1101/2023.03.07.530442⟩. ⟨hal-04244818⟩
• 
  Marine Djaffardjy. Pipelines d'Analyse Bioinformatiques : solutions offertes par les Systèmes de Workflows, Cadre de représentation et Étude de la Réutilisation. Bio-informatique [q-bio.QM]. Université Paris-Saclay, 2023. Français. ⟨NNT : 2023UPASG059⟩. ⟨tel-04496191⟩
• 
  Jazeps Medina Tretmanis, Flora Jay, María Ávila-Arcos, Emilia Huerta-Sanchez. Simulation-based Benchmarking of Ancient Haplotype Inference for Detecting Population Structure. 2023. ⟨hal-04244011⟩
• 
  Fernando Villanea, David Peede, Eli Kaufman, Valeria Añorve-Garibay, Kelsey Witt, et al.. The MUC19 gene in Denisovans, Neanderthals, and Modern Humans: An Evolutionary History of Recurrent Introgression and Natural Selection. 2023. ⟨hal-04244022⟩
• 
  Pierre Andrieu, Sarah Cohen-Boulakia, Miguel Couceiro, Alain Denise, Adeline Pierrot. A unifying rank aggregation framework to suitably and efficiently aggregate any kind of rankings. International Journal of Approximate Reasoning, 2023, 162, pp.109035. ⟨10.1016/j.ijar.2023.109035⟩. ⟨hal-04227695⟩
• 
  Burak Yelmen, Flora Jay. An Overview of Deep Generative Models in Functional and Evolutionary Genomics. Annual Review of Biomedical Data Science, 2023, 6 (1), pp.173-189. ⟨10.1146/annurev-biodatasci-020722-115651⟩. ⟨hal-04243980⟩
• 
  Apolline Petit, Jeremy Guez, Arnaud Le Rouzic. Correlated stabilizing selection shapes the topology of gene regulatory networks. Genetics, 2023, 224 (2), ⟨10.1101/2022.08.29.505706⟩. ⟨hal-03813178⟩
• 
  Thomas Cokelaer, Sarah Cohen-Boulakia, Frédéric Lemoine. Reprohackathons: promoting reproducibility in bioinformatics through training. Bioinformatics, 2023, 39 (Sup 1), pp.i11 - i20. ⟨10.1093/bioinformatics/btad227⟩. ⟨hal-04402365⟩
• 
  Viridiana Villa-Islas, Alan Izarraras-Gomez, Maximilian Larena, Elizabeth Mejía Perez Campos, Marcela Sandoval-Velasco, et al.. Demographic history and genetic structure in pre-Hispanic Central Mexico. Science, 2023, 380 (6645), ⟨10.1126/science.add6142⟩. ⟨hal-04244008⟩
• 
  Jérémy Guez. Cultural transmission of reproductive success: Causal mechanisms, genetic consequences, and machine-learning-based inference. Populations and Evolution [q-bio.PE]. Muséum national d'histoire naturelle, 2023. English. ⟨NNT : ⟩. ⟨tel-04482448⟩
• 
  Jérémy Guez, Guillaume Achaz, François Bienvenu, Jean Cury, Bruno Toupance, et al.. Cultural transmission of reproductive success impacts genomic diversity, coalescent tree topologies and demographic inferences. Genetics, 2023, 223 (4), pp.iyad007. ⟨10.1093/genetics/iyad007⟩. ⟨hal-03875721⟩
• 
  Arnaud Quelin, Jérémy Guez, Ferdinand Petit, Flora Jay, Frédéric Austerlitz. Inference of the Cultural Transmission of Reproductive Success from human genomic data: ABC and machine learning methods. Alphy/AIEM 2023 - Rencontres Alphy & AIEM, Jan 2023, Grenoble, France. ⟨hal-03960408⟩
• 
  Clémence Sebe, Aurélie Névéol, Sarah Cohen-Boulakia, Alban Gaignard. Extraction d'informations sur les workflows scientifiques à partir de la littérature. 23ème conférence francophone sur l'Extraction et la Gestion des Connaissances (EGC), Jan 2023, Lyon, France. pp.313-320. ⟨hal-03991363⟩
• 
  Clément Gain, Bénédicte Rhoné, Philippe Cubry, Israfel Salazar, Florence Forbes, et al.. A Quantitative Theory for Genomic Offset Statistics. Molecular Biology and Evolution, 2023, 40 (6), pp.msad140. ⟨10.1093/molbev/msad140⟩. ⟨hal-04243951v2⟩
• 
  Isaac Overcast, Guillaume Achaz, Robin Aguilée, Carmelo Andújar, Paula Arribas, et al.. Towards a genetic theory of island biogeography: Inferring processes from multidimensional community‐scale data. Global Ecology and Biogeography, 2023, 32, pp.4 - 23. ⟨10.1111/geb.13604⟩. ⟨inserm-04270149⟩
• 
  Théophile Sanchez, Erik Madison Bray, Pierre Jobic, Jérémy Guez, Anne-Catherine Letournel, et al.. dnadna: a deep learning framework for population genetics inference. Bioinformatics, 2023, 39 (1), ⟨10.1093/bioinformatics/btac765⟩. ⟨hal-03352910v4⟩
• 
  Coline Gianfrotta, Vladimir Reinharz, Olivier Lespinet, Dominique Barth, Alain Denise. On the predictibility of A-minor motifs from their local contexts. RNA Biology, 2022, 19 (1), pp.1208-1227. ⟨10.1080/15476286.2022.2144611⟩. ⟨hal-03864666⟩
• 
  Coline Gianfrotta. Modélisation, analyse et classification de motifs structuraux d'ARN à partir de leur contexte, par des méthodes d'algorithmique de graphes. Bio-informatique [q-bio.QM]. Université Paris-Saclay, 2022. Français. ⟨NNT : 2022UPASG056⟩. ⟨tel-03867018⟩
• 
  Stéphanie Chevalier. Inférence logique de réseaux booléens à partir de connaissances et d'observations de processus de différenciation cellulaire. Bio-informatique [q-bio.QM]. Université Paris-Saclay, 2022. Français. ⟨NNT : 2022UPASG061⟩. ⟨tel-03917566⟩
• 
  Louis Ollivier, Flora Jay, Fanny Pouyet. Impact of yeast cell cycle specificity on demography inference. JOBIM (Journées Ouvertes en Biologie, Informatique et Mathématiques ) 2022, Jul 2022, Rennes, France. ⟨hal-04393823⟩
• 
  Quentin Lobbé, David Chavalarias, Alexandre Delanoë, Gabriel Ferrand, Sarah Cohen-Boulakia, et al.. Toward an observatory of the evolution of COVID-19 Vaccines Trials through phylomemy reconstruction. Journal of Clinical Epidemiology, 2022, 149, pp.34-44. ⟨10.1016/j.jclinepi.2022.05.004⟩. ⟨hal-03500847⟩
• 
  Denis Maurel, Sandy Chéry, Nicole Bidoit, Philippe Chatalic, Aziza Filali, et al.. Transducer Cascades for Biological Literature-Based Discovery. Information, 2022, 13 (5), pp.262. ⟨10.3390/info13050262⟩. ⟨hal-03846458⟩
• 
  Théophile Sanchez. Reconstructing our past ˸ deep learning for population genetics. Neural and Evolutionary Computing [cs.NE]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG032⟩. ⟨tel-03701132⟩
• 
  Sarah Cohen-Boulakia. FAIR Scientific Workflows: Status, Challenges and Research Opportunities. Revue des Nouvelles Technologies de l'Information, 2022, Extraction et Gestion des Connaissances, EGC 2022, RNTI-E-38, pp.7-8. ⟨hal-04402300⟩
• 
  Jean Cury, Benjamin C Haller, Guillaume Achaz, Flora Jay. Simulation of bacterial populations with SLiM. Peer Community Journal, 2022, ⟨10.24072/pcjournal.72⟩. ⟨hal-03152153v3⟩
• 
  Florian Tesson, Alexandre Hervé, Ernest Mordret, Marie Touchon, Camille D’humières, et al.. Systematic and quantitative view of the antiviral arsenal of prokaryotes. Nature Communications, 2022, 13 (1), pp.2561. ⟨10.1038/s41467-022-30269-9⟩. ⟨hal-03823827v2⟩
• 
  Bertrand Néron, Eloi Littner, Matthieu Haudiquet, Amandine Perrin, Jean Cury, et al.. IntegronFinder 2.0: Identification and Analysis of Integrons across Bacteria, with a Focus on Antibiotic Resistance in Klebsiella. Microorganisms, 2022, 10 (4), pp.700. ⟨10.3390/microorganisms10040700⟩. ⟨hal-03655020⟩
• 
  Fanny Pouyet, Kimberbly J Gilbert. Towards an improved understanding of molecular evolution: the relative roles of selection, drift, and everything in between. Peer Community Journal, 2021, 1, pp.e27. ⟨10.24072/pcjournal.16⟩. ⟨hal-03457264⟩