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The correct identification of differentially abundant microbial taxa between experimental conditions is a methodological and computational challenge. Recent work has produced methods to deal with the high sparsity and compositionality characteristic of microbiome data, but independent benchmarks comparing these to alternatives developed for RNA-seq data analysis are lacking. We compare methods developed for single-cell and bulk RNA-seq, and specifically for microbiome data, in terms ofdoi:10.1186/s13059-020-02104-1 pmid:32746888 fatcat:yxxh5ogdzjcovc7jmzfeceidqe