Clustering metagenomic sequences with interpolated Markov models

@inproceedings{Kelley2010ClusteringMS,
  title={Clustering metagenomic sequences with interpolated Markov models},
  author={David R. Kelley and Steven L Salzberg},
  booktitle={BMC Bioinformatics},
  year={2010}
}
Sequencing of environmental DNA (often called metagenomics) has shown tremendous potential to uncover the vast number of unknown microbes that cannot be cultured and sequenced by traditional methods. Because the output from metagenomic sequencing is a large set of reads of unknown origin, clustering reads together that were sequenced from the same species is a crucial analysis step. Many effective approaches to this task rely on sequenced genomes in public databases, but these genomes are a… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 4 times over the past 90 days. VIEW TWEETS
57 Citations
54 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 57 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 54 references

A classification EM algorithm for clustering and two stochastic versions

  • G Celeux, G Govaert
  • Computational Statistics and Data Analysis
  • 1992
Highly Influential
3 Excerpts

GenBank

  • DA Benson, I Karsch-Mizrachi, DJ Lipman, J Ostell, EW Sayers
  • Nucleic Acids Res
  • 2010

Similar Papers

Loading similar papers…