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pro vyhledávání: '"Jia R. Wu"'
Publikováno v:
PLoS ONE, Vol 11, Iss 9, p e0161196 (2016)
The UniFrac distance metric is often used to separate groups in microbiome analysis, but requires a constant sequencing depth to work properly. Here we demonstrate that unweighted UniFrac is highly sensitive to rarefaction instance and to sequencing
Externí odkaz:
https://doaj.org/article/00e8b6135fcf4c9bac2122c475420248
Publikováno v:
Advances in Compositional Data Analysis ISBN: 9783030711740
High-throughput sequencing datasets comprise millions of reads of genomic data and can be modelled as count compositions. These data are used for transcription profiles, microbial diversity, or relative cellular abundance in culture. The data are spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::221b728232f058bdd27e2569cf0cae23
https://doi.org/10.1007/978-3-030-71175-7_17
https://doi.org/10.1007/978-3-030-71175-7_17
Publikováno v:
PLoS ONE, Vol 11, Iss 9, p e0161196 (2016)
PLoS ONE
PLoS ONE
The UniFrac distance metric is often used to separate groups in microbiome analysis, but requires a constant sequencing depth to work properly. Here we demonstrate that unweighted UniFrac is highly sensitive to rarefaction instance and to sequencing
Publikováno v:
Gloor, G.B. Wu, J.R. Pawlowsky-Glahn, Vera Egozcue, Juan José 2016 It's all relative: analyzing microbiome data as compositions. Annals of Epidemiology 26 5 322 329
Recercat. Dipósit de la Recerca de Catalunya
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© Annals of Epidemiology, 2016, vol. 26, núm. 5, p. 322-329
Articles publicats (D-IMAE)
DUGiDocs – Universitat de Girona
Recercat. Dipósit de la Recerca de Catalunya
instname
© Annals of Epidemiology, 2016, vol. 26, núm. 5, p. 322-329
Articles publicats (D-IMAE)
DUGiDocs – Universitat de Girona
Purpose: The ability to properly analyze and interpret large microbiome datasets has lagged behind our ability to acquire such datasets from environmental or clinical samples. Sequencing instruments impose a structure on these data: the natural sampl
Autor:
Bianca M. Arendt, Greg Gloor, Elena M. Comelli, Sandra Fischer, Johane P. Allard, Anastasia Teterina, Jia R. Wu, Wendy Lou, Hannah E. Da Silva
Publikováno v:
Gastroenterology. 150:S927