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More and more teams of biologists are sequencing their study species and are using assembly software to recon-struct the genome of the studied species. However, the problem of the assembly being NP-hard and APX-difficult, these methods are heuristics and pro-duce genomes of different quality as a result. In order to produce a reliable and better quality assembly, we can do \u2018meta-assembly\u2019 (combining several assem-blies of the same species). Several methods already exist but do not combine all the criteria expected by biologists: explicit quality index, speed of execution\u2026 As part of this thesis, the goal is to evaluate the quality of assemblies (quality criteria, method for comparing assemblies), then to define a method to merge two assemblies to provide a better quality assembly, according to the criteria defined above. And finally to evaluate the possibilities of extending this fusion method to several assemblies. 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However, the problem of the assembly being NP-hard and APX-difficult, these methods are heuristics and pro-duce genomes of different quality as a result. In order to produce a reliable and better quality assembly, we can do \u2018meta-assembly\u2019 (combining several assem-blies of the same species). Several methods already exist but do not combine all the criteria expected by biologists: explicit quality index, speed of execution\u2026 As part of this thesis, the goal is to evaluate the quality of assemblies (quality criteria, method for comparing assemblies), then to define a method to merge two assemblies to provide a better quality assembly, according to the criteria defined above. And finally to evaluate the possibilities of extending this fusion method to several assemblies. 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