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<!-- badges: start --> ![build]( [![Codecov test coverage](]( <!-- badges: end --> # lefser: Run LEfSE in R `lefser` is the R implementation of the _LEfSe_ method for microbiome biomarker discovery[1]. The original software is likely the most widely-used method for biomarker discovery and plotting in microbiome studies, with ~5,000 citations as of the end of 2020. However, the original software is implemented in Python as a command-line tool and Galaxy module, and is not straightforward to implement in R. The method involves Kruskal-Wallis test, Wilcoxon-Rank Sum test, and Linear Discriminant Analysis to find biomarkers in groups and sub-group blocks. `lefser` closely reproduces the original statistical method and the associated barplot of results. [1] Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, Huttenhower C: Metagenomic biomarker discovery and explanation. Genome Biol. 2011, 12:R60.