FlowClus: efficiently filtering and denoising pyrosequenced amplicons

@article{Gaspar2015FlowClusEF,
  title={FlowClus: efficiently filtering and denoising pyrosequenced amplicons},
  author={J. M. Gaspar and W. Thomas},
  journal={BMC Bioinformatics},
  year={2015},
  volume={16}
}
  • J. M. Gaspar, W. Thomas
  • Published 2015
  • Biology, Computer Science, Medicine
  • BMC Bioinformatics
  • BackgroundReducing the effects of sequencing errors and PCR artifacts has emerged as an essential component in amplicon-based metagenomic studies. Denoising algorithms have been designed that can reduce error rates in mock community data, but they change the sequence data in a manner that can be inconsistent with the process of removing errors in studies of real communities. In addition, they are limited by the size of the dataset and the sequencing technology used.ResultsFlowClus uses a… CONTINUE READING
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