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A list of R environment based tools for microbiome data exploration, statistical analysis and visualization

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Tools-Microbiome-Analysis


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You can cite this resource as:
Shetty, Sudarshan A., and Leo Lahti. Microbiome data science. Journal of biosciences 44, no. 5 (2019): 115.
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Do you want to join us and contribute to the open source microbiome community?

We are working on an open source project developing R/Bioc methods, benchmarking data, and educational material for microbiome research based on the SummarizedExperiment class and its derivatives.
More information please check our website R/Bioc microbiome ecosystem with SummarizedExperiment


Acknowledgments

  • The Academy of Finland (Grants 295741; 307127)
  • The SIAM Gravitation Grant 024.002.002
  • UNLOCK project of the Netherlands Organization for Scientific Research (NWO)
  • University of Turku, Department of Mathematics and Statistics
  • Molecular Ecology group, Laboratory of Microbiology, Wageningen University, The Netherlands
  • Medische Microbiologie en Infectiepreventie, University Medical Center Groningen, The Netherlands

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A list of R environment based tools for microbiome data exploration, statistical analysis and visualization

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