Présentation
COMMET (“COmpare Multiple METagenomes”) provides a global similarity overview between all datasets of a large metagenomic project.
Directly from non-assembled reads, all against all comparisons are performed through an efficient indexing strategy. Then, results are stored as bit vectors, a compressed representation of read files, that can be used to further combine read subsets by common logical operations. Finally, COMMET computes a clusterization of metagenomic datasets, which is visualized by dendrogram and heatmaps.
