| Literature DB >> 21984239 |
Daniel Aguirre de Cárcer1, Stuart E Denman, Chris McSweeney, Mark Morrison.
Abstract
Several subsampling-based normalization strategies were applied to different high-throughput sequencing data sets originating from human and murine gut environments. Their effects on the data sets' characteristics and normalization efficiencies, as measured by several β-diversity metrics, were compared. For both data sets, subsampling to the median rather than the minimum number appeared to improve the analysis.Entities:
Mesh:
Year: 2011 PMID: 21984239 PMCID: PMC3233110 DOI: 10.1128/AEM.05491-11
Source DB: PubMed Journal: Appl Environ Microbiol ISSN: 0099-2240 Impact factor: 4.792