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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https
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regeneration; iii) develop functional tests allowing a differential assessment of tip link break in humans experiencing TTS. The work plan is structured as follows: Characterise tip link damage following TTS
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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Characterize them using biochemical, biophysical, and structural tools Develop reaction assays to confirm and quantify enzymatic activity Analyze the data obtained to elucidate reaction mechanisms Present and