Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples Export

@article{citeulike:4298689, abstract = {Numerous studies are currently underway to characterize the microbial communities inhabiting our world. These studies aim to dramatically expand our understanding of the microbial biosphere and, more importantly, hope to reveal the secrets of the complex symbiotic relationship between us and our commensal bacterial microflora. An important prerequisite for such discoveries are computational tools that are able to rapidly and accurately compare large datasets generated from complex bacterial communities to identify features that distinguish them.}, author = {White, James R. and Nagarajan, Niranjan and Pop, Mihai}, citeulike-article-id = {4298689}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pcbi.1000352}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19360128}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19360128}, day = {10}, doi = {10.1371/journal.pcbi.1000352}, issn = {1553-7358}, journal = {PLoS Comput Biol}, keywords = {analysis, metagenomics, software}, month = {April}, number = {4}, pages = {e1000352+}, posted-at = {2009-08-20 19:14:37}, priority = {2}, publisher = {Public Library of Science}, title = {Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples}, url = {http://dx.doi.org/10.1371/journal.pcbi.1000352}, volume = {5}, year = {2009} }

TY - JOUR ID - citeulike:4298689 L3 - citeulike-article-id:4298689 N2 - Numerous studies are currently underway to characterize the microbial communities inhabiting our world. These studies aim to dramatically expand our understanding of the microbial biosphere and, more importantly, hope to reveal the secrets of the complex symbiotic relationship between us and our commensal bacterial microflora. An important prerequisite for such discoveries are computational tools that are able to rapidly and accurately compare large datasets generated from complex bacterial communities to identify features that distinguish them. IS - 4 JF - PLoS Comput Biol SN - 1553-7358 TI - Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples PB - Public Library of Science VL - 5 SP - e1000352 KW - analysis KW - metagenomics KW - software AU - White, James AU - Nagarajan, Niranjan AU - Pop, Mihai PY - 2009/04/10/ UR - http://dx.doi.org/10.1371/journal.pcbi.1000352 ER -