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dRep is a tool for dereplicating metagenome-assembled genomes (MAGs) by identifying and clustering redundant genomes based on average nucleotide identity (ANI). It selects the highest-quality representative from each cluster using completeness, contamination, and genome size metrics. This reduces redundancy in MAG catalogs while preserving biological diversity, enabling non-redundant downstream analyses. dRep integrates CheckM/CheckM2 quality scores and supports both pairwise ANI (fastANI/MUMmer) and scalable sketch-based methods.
Quality Filtering: Loads CheckM results; excludes bins below user-defined thresholds.
Pairwise Comparison: Computes ANI between all passing genomes using fastANI (default) or MUMmer.
Clustering: Groups genomes exceeding ANI threshold into clusters via greedy algorithm.
Representative Selection: Picks best genome per cluster based on weighted score (completeness − 5×contamination + 0.5×size).
Output: Dereplicated genome set, clustering table, and comparison plots.
Address: 800 Dong Chuan RD. Minhang District, Shanghai, China SJTU-Yale Joint Center for Biostatistics, SJTU
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