Comparing and combining multiple metagenomic datasets
[PAGE Created on July, 29 2014]
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.
The last Commet release may be downloaded here: Commet
Please read and accept the License before use and diffusion.
Any feedback and comment is warmly encouraged!
Nicollas Maillet, Guillaume Collet, Thomas Vannier, Dominique Lavenier, and Pierre Peterlongo.
“COMMET: comparing and combining multiple metagenomic datasets” IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2014.