2017
DOI: 10.1093/bioinformatics/btx617
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Nephele: a cloud platform for simplified, standardized and reproducible microbiome data analysis

Abstract: Motivation: Widespread interest in the study of the microbiome has resulted in data proliferation and the development of powerful computational tools. However, many scientific researchers lack the time, training, or infrastructure to work with large datasets or to install and use command line tools.

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Cited by 117 publications
(80 citation statements)
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“…However, there is still no clear consensus of the impact of STH on microbiota diversity and composition. This could be in part because of differences in the STH species, prevalence, and intensity of infection in these different locations, as well as differences in the laboratory and analytical methodologies employed (28)(29)(30)(31). In the present study, we used samples collected in Kenya as part of a larger study to examine differences in the stool microbiota of individuals with and without STH infections and before and after deworming treatment.…”
Section: Discussionmentioning
confidence: 99%
“…However, there is still no clear consensus of the impact of STH on microbiota diversity and composition. This could be in part because of differences in the STH species, prevalence, and intensity of infection in these different locations, as well as differences in the laboratory and analytical methodologies employed (28)(29)(30)(31). In the present study, we used samples collected in Kenya as part of a larger study to examine differences in the stool microbiota of individuals with and without STH infections and before and after deworming treatment.…”
Section: Discussionmentioning
confidence: 99%
“…of Cyber Infrastructure and Computational Biology (OCICB) in Bethesda, Maryland, USA (25). The LefSe Galaxy web application tool developed by the Huttenhower group was performed using default parameters as previously published (26).…”
Section: Methodsmentioning
confidence: 99%
“…We analyzed the 16S-V4 phylogenetic data with the PICRUSt software package [71] to predict functional traits based on the Kyoto Encyclopedia of Genes and Genomes Orthology (KO) classification [72] on the Nephele cloud platform [73]. Visualization of the taxonomic and functional profiles for each sample used heatmaps generated with the HemI toolkit [74].…”
Section: Discussionmentioning
confidence: 99%