MTR

MTR is a computational method for metagenomic data analysis that discovers the taxonomic composition of a dataset. MTR generates clusters of reads associated with a taxon at each rank and uses a combinatorial optimization algorithm to select a small number of clusters at each rank. MTR improves on the drawbacks of the Lowest Common Ancestor (LCA) method, as it discards fewer reads and assigns more reads at lower taxonomic ranks. MTR provides a more accurate taxonomic characterization of the metagenome population distribution.