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, an interdisciplinary effort at the interface of genomics, artificial intelligence, and biophysics. The project aims to elucidate the mechanisms governing DNA replication initiation in metazoans by combining deep
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provides a collaborative environment bringing together fundamental and clinical research, with access to state-of-the-art core facilities in genomics, imaging, flow cytometry, animal experimentation and
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culture, DNA extraction, MinION sequencing, analysis of strain viability and fertility) -Scientific publication writing. -Implementation of new approaches in evolutionary genomics. -Implementation
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parameters from parasite genetic data; cf., viral genomic epidemiology, where bifurcating trees capture the ancestry of DNA sequences, and human population genetics, where the ancestral recombination graph
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of computational biology, protein language models, structural biology, and immunology. đŻ Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models
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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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and biochemical characterization of bromodomain-histone interactions, analysis of Bdf1-chromatin interactions in cells by fluorescence microscopy, and transcriptomic profiling by RNA sequencing
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain