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data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating exciting opportunities
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pangenomics, transcriptomics, and proteomics. In practice, the group designs and implements algorithms and data structures within software tools, while collaborating with teams of biologists. Recent projects
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Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, https://research.pasteur.fr/fr/department/immunology/). Background : We are seeking a highly motivated researcher to join
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platform designed to simplify Plasmodium genomic data analysis; see https://mrc-ide.github.io/PGEforge/. Data partitioning: The 24,409 analysis-ready samples will be extracted and partitioned into
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generates symbiosis. bioRxiv https://doi.org/10.64898/2026.01.15.695950. Merle , M., et al. 2024. Precise and scalable self-organization in mammalian pseudo-embryos. Nat Struct Mol Biol 31:896-902