[PDF] Multiple comparative metagenomics using multiset k-mer counting | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.7717/peerj-cs.94 Corpus ID: 7987311Multiple comparative metagenomics using multiset k-mer counting @article{Benoit2016MultipleCM, title={Multiple comparative metagenomics using multiset k-mer counting}, author={G. Benoit and P. Peterlongo and M. Mariadassou and Erwan Drezen and Sophie Schbath and D. Lavenier and C. Lemaitre}, journal={PeerJ Comput. Sci.}, year={2016}, volume={2}, pages={e94} } G. Benoit, P. Peterlongo, +4 authors C. Lemaitre Published 2016 Computer Science, Biology PeerJ Comput. Sci. 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… Expand View PDF on arXiv Save to Library Create Alert Cite Launch Research Feed Share This Paper 59 CitationsHighly Influential Citations 4 Background Citations 8 Methods Citations 22 Results Citations 1 View All Supplemental Presentations Presentation Slides Multiple comparative metagenomics using multiset k-mer counting Explore Further Discover more papers related to the topics discussed in this paper Figures, Tables, and Topics from this paper table 1 figure 1 figure 2 table 2 figure 3 figure 4 figure 5 figure 6 figure 7 figure 8 View All 10 Figures & Tables Metagenomics Mer K-mer De novo transcriptome assembly Taxonomy (general) Ab initio quantum chemistry methods 59 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency Libra: scalable k-mer–based tool for massive all-vs-all metagenome comparisons Illyoung Choi, Alise J Ponsero, M. 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