TY - JOUR
AU1 - Caporaso, J Gregory
AU2 - Kuczynski, Justin
AU3 - Stombaugh, Jesse
AU4 - Bittinger, Kyle
AU5 - Bushman, Frederic D
AU6 - Costello, Elizabeth K
AU7 - Fierer, Noah
AU8 - Peña, Antonio Gonzalez
AU9 - Goodrich, Julia K
AU1 - Gordon, Jeffrey I
AU1 - Huttley, Gavin A
AU1 - Kelley, Scott T
AU1 - Knights, Dan
AU1 - Koenig, Jeremy E
AU1 - Ley, Ruth E
AU1 - Lozupone, Catherine A
AU1 - McDonald, Daniel
AU1 - Muegge, Brian D
AU1 - Pirrung, Meg
AU2 - Reeder, Jens
AU2 - Sevinsky, Joel R
AU2 - Turnbaugh, Peter J
AU2 - Walters, William A
AU2 - Widmann, Jeremy
AU2 - Yatsunenko, Tanya
AU2 - Zaneveld, Jesse
AU2 - Knight, Rob
AB - correspond ence line built using the PyCogent toolkit , to address the problem of QIIME allows analysis of high- taking sequencing data from raw sequences to interpretation and database deposition. QIIME, available at http://qiime.sourceforge. throughput community sequencing data net/, supports a wide range of microbial community analyses and To the Editor: High-throughput sequencing is revolutionizing visualizations that have been central to several recent high-pro- microbial ecology studies. Efforts like the Human Microbiome file studies, including network analysis, histograms of within- or 1 2 Projects and the US National Ecological Observatory Network are between-sample diversity and analysis of whether ‘core’ sets of helping us to understand the role of microbial diversity in habitats organisms are consistently represented in certain habitats. QIIME within our own bodies and throughout the planet. also provides graphical displays that allow users to interact with the Pyrosequencing using error-correcting, sample-specific barcodes data. Our implementation is highly modular and makes extensive allows hundreds of communities to be analyzed simultaneously in use of unit testing to ensure the accuracy of results. This modularity multiplex . Integrating information from thousands of samples, allows alternative components for functionalities such as choosing including those obtained from time series, can reveal large-scale 
TI - QIIME allows analysis of high-throughput community sequencing data
JF - Nature Methods
DO - 10.1038/nmeth.f.303
DA - 2010-04-11
UR - https://www.deepdyve.com/lp/springer-journals/qiime-allows-analysis-of-high-throughput-community-sequencing-data-8qMOUN7nvQ
SP - 335
EP - 336
VL - 7
IS - 5
DP - DeepDyve
ER -