EvalDNA: a machine learning-based tool for the comprehensive evaluation of mammalian genome assembly quality

Abstract Background To select the most complete, continuous, and accurate assembly for an organism of interest, comprehensive quality assessment of assemblies is necessary. We present a novel tool, called Evaluation of De Novo Assemblies (EvalDNA), which uses supervised machine learning for the qual...

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Auteurs principaux: Madolyn L. MacDonald, Kelvin H. Lee
Format: article
Langue:EN
Publié: BMC 2021
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Accès en ligne:https://doaj.org/article/9149ddb6466743b6a1005ecd98f92813
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