Shotgun metagenomic sequencing provides the capacity to understand microbial community structure and function at unprecedented resolution; however, the current analytical methods are constrained by a focus on taxonomic classifications that may obfuscate functional relationships. Here, we present expam, a tree-based, taxonomy agnostic tool for the identification of biologically relevant clades from shotgun metagenomic sequencing.
CITATION STYLE
Solari, S. M., Young, R. B., Marcelino, V. R., & Forster, S. C. (2022). expam - high-resolution analysis of metagenomes using distance trees. Bioinformatics, 38(20), 4814–4816. https://doi.org/10.1093/bioinformatics/btac591
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