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A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling

BMC Genomics · 2016 · Vol. 17(1) · pp. 55–55
R. D'AmoreUmer Zeeshan IjazMelanie SchirmerJohn KennyRichard I. GregoryAlistair C. DarbyMigun ShakyaMircea PodarChristopher QuinceNeil Hall

Abstract

We have assessed a range of experimental conditions across several next generation sequencing platforms using the most up-to-date configurations. We propose that the choice of sequencing platform and experimental design needs to be taken into consideration in the early stage of a project by running a small trial consisting of several hypervariable regions to quantify the discriminatory power of each region. We also suggest that the use of a synthetic community as a positive control would be beneficial to identify the potential biases and procedural drawbacks that may lead to data misinterpretation. The results of this study will serve as a guideline for making decisions on which experimental condition and sequencing platform to consider to achieve the best microbial profiling.

Genomics and Phylogenetic StudiesMicrobial Community Ecology and PhysiologyRNA modifications and cancerBenchmarkingBiologyProfiling (computer programming)Computational biologyDNA microarrayData scienceGeneticsComputer scienceGeneBusiness

MeSH terms

BacteriaPhylogenyRNA, Ribosomal, 16SGenome, BacterialBenchmarkingMetagenomicsHigh-Throughput Nucleotide Sequencing

Funding

  • U.S. Department of Energy
  • Battelle
  • UT-Battelle
  • Sight Research UK
  • Technology Strategy Board
  • University of Liverpool
  • Medical Research Council
  • Biotechnology and Biological Sciences Research Council
  • Natural Environment Research Council
  • Oak Ridge National Laboratory
Citations
422
FWCI
29.24
field-weighted impact
References
39
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100%
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Applied and Environmental Microbiology · 2007 · 20,269 citations
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