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Microbiome datasets are compositional: and this is not optional

Autor
Gloor, G.; Macklaim, J.; Pawlowsky, V.; Egozcue, J. J.
Tipus d'activitat
Article en revista
Revista
Frontiers in Microbiology
Data de publicació
2017-11
Volum
8
Pàgina inicial
1
Pàgina final
6
DOI
https://doi.org/10.3389/fmicb.2017.02224 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/111278 Obrir en finestra nova
URL
https://www.frontiersin.org/articles/10.3389/fmicb.2017.02224/full Obrir en finestra nova
Resum
Datasets collected by high-throughput sequencing (HTS) of 16S rRNA gene amplimers, metagenomes or metatranscriptomes are commonplace and being used to study human disease states, ecological differences between sites, and the built environment. There is increasing awareness that microbiome datasets generated by HTS are compositional because they have an arbitrary total imposed by the instrument. However, many investigators are either unaware of this or assume specific properties of the compositio...
Citació
Gloor, G., Macklaim, J., Pawlowsky, V., Egozcue, J. J. Microbiome datasets are compositional: and this is not optional. "Frontiers in Microbiology", Novembre 2017, vol. 8, p. 1-6.
Paraules clau
Bayesian estimation, compositional data, correlation, count normalization, high-throughput sequencing, microbiota, relative abundance
Grup de recerca
COSDA-UPC - COmpositional and Spatial Data Analysis

Participants

  • Gloor, Gregory B.  (autor)
  • Macklaim, Jean M.  (autor)
  • Pawlowsky Glahn, Vera  (autor)
  • Egozcue Rubi, Juan José  (autor)

Arxius