The paper introduces PlasMAAG, a novel computational tool designed to reconstruct plasmids and cellular genomes from complex metagenomic data. Unlike traditional methods that analyze samples individually, this framework utilizes assembly–alignment graphs (AAGs) to combine genetic information across multiple samples. By integrating contrastive learning and deep-learning-based binning, the tool effe...去小宇宙查看完整单集简介
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