Environmental Monitoring: Inferring the Diatom Index from Next-Generation Sequencing Data.

@article{Visco2015EnvironmentalMI,
  title={Environmental Monitoring: Inferring the Diatom Index from Next-Generation Sequencing Data.},
  author={Joana Amorim Visco and Laure Apoth{\'e}loz-Perret-Gentil and Arielle Cordonier and Philippe Esling and Lo{\"i}c Pillet and Jan Pawlowski},
  journal={Environmental science & technology},
  year={2015},
  volume={49 13},
  pages={7597-605}
}
Diatoms are widely used as bioindicators for the assessment of water quality in rivers and streams. Classically, the diatom biotic indices are based on the relative abundance of morphologically identified species weighted by their autoecological value. Obtaining such indices is time-consuming, costly, and requires excellent taxonomic expertise, which is not always available. Here we tested the possibility to overcome these limitations using a next-generation sequencing (NGS) approach to… CONTINUE READING
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