Multiple comparative metagenomics using multiset k-mer counting

@article{Benoit2016MultipleCM,
  title={Multiple comparative metagenomics using multiset k-mer counting},
  author={Ga{\"e}tan Benoit and Pierre Peterlongo and Mahendra Mariadassou and Erwan Drezen and Sophie Schbath and Dominique Lavenier and Claire Lemaitre},
  journal={PeerJ Comput. Sci.},
  year={2016},
  volume={2},
  pages={e94}
}
Background Large scale metagenomic projects aim to extract biodiversity knowledge between different environmental conditions. Current methods for comparing microbial communities face important limitations. Those based on taxonomical or functional assignation rely on a small subset of the sequences that can be associated to known organisms. On the other hand, de novo methods, that compare the whole sets of sequences, either do not scale up on ambitious metagenomic projects or do not provide… 
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