Associating microbiome composition with environmental covariates using generalized UniFrac distances

@inproceedings{Chen2012AssociatingMC,
  title={Associating microbiome composition with environmental covariates using generalized UniFrac distances},
  author={Jun Chen and Kyle Bittinger and Emily S. Charlson and Christopher Hoffmann and James D. Lewis and Gary D. Wu and Ronald G. Collman and Frederic D. Bushman and Hongzhe Li},
  booktitle={Bioinformatics},
  year={2012}
}
MOTIVATION The human microbiome plays an important role in human disease and health. Identification of factors that affect the microbiome composition can provide insights into disease mechanism as well as suggest ways to modulate the microbiome composition for therapeutical purposes. Distance-based statistical tests have been applied to test the association of microbiome composition with environmental or biological covariates. The unweighted and weighted UniFrac distances are the most widely… CONTINUE READING
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