QIIME allows analysis of high-throughput community sequencing data
Nature methods, 2010•nature.com
Discussion). This analysis combined ten full 454 FLX runs and one partial run, totalling 3.8
million bacterial 16S rRNA sequences from previously published studies, including reads
from different regions of the 16S rRNA gene. QIIME is thus a robust platform for combining
heterogeneous experimental datasets and for rapidly obtaining new insights about various
microbial communities. Because QIIME scales to millions of sequences and can be used on
platforms from laptops to highperformance computing clusters, we expect it to keep pace …
million bacterial 16S rRNA sequences from previously published studies, including reads
from different regions of the 16S rRNA gene. QIIME is thus a robust platform for combining
heterogeneous experimental datasets and for rapidly obtaining new insights about various
microbial communities. Because QIIME scales to millions of sequences and can be used on
platforms from laptops to highperformance computing clusters, we expect it to keep pace …
Discussion). This analysis combined ten full 454 FLX runs and one partial run, totalling 3.8 million bacterial 16S rRNA sequences from previously published studies, including reads from different regions of the 16S rRNA gene.
QIIME is thus a robust platform for combining heterogeneous experimental datasets and for rapidly obtaining new insights about various microbial communities. Because QIIME scales to millions of sequences and can be used on platforms from laptops to highperformance computing clusters, we expect it to keep pace with advances in sequencing technology and to facilitate characterization of microbial community patterns ranging from normal variations to pathological disturbances in many human, animal and other environmental ecosystems.
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