Rhea (pipeline)
In today's world, Rhea (pipeline) has become a relevant topic that impacts different aspects of our daily lives. Its influence is evident in areas such as economy, politics, society and culture. From Rhea (pipeline) it has generated an intense debate that seeks to understand in depth its implications and consequences. As Rhea (pipeline) continues to gain relevance, it is crucial to analyze its different facets and understand how they affect our reality. In this article, we will explore the various aspects of Rhea (pipeline) and its impact on our everyday contexts.
 | This article provides insufficient context for those unfamiliar with the subject. (March 2017) |
| Rhea | |
|---|---|
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| Developers | Ilias Lagkouvardos, Sandra Fischer, Neeraj Kumar, Thomas Clavel |
| Initial release | November 16, 2016 |
| Stable release | 1.1.0
|
| Written in | R |
| Operating system | Windows, macOS, Ubuntu, Fedora, Red Hat Linux, openSUSE |
| License | MIT License |
| Website | https://lagkouvardos.github.io/Rhea/ |
Rhea[1] is a bioinformatic pipeline written in R language for the analysis of microbial profiles. It was released during the end of 2016 and it is publicly available through a GitHub repository.[2]
Starting with an Operational taxonomic unit (OTU) table, the pipeline contains scripts that perform the following common analytical steps:
- Normalization of the OTU table
- Calculation of the alpha diversity for each sample
- Calculation of beta diversity and visualization of the results with PCoA
- Taxonomic binning
- Statistical testing
- Correlation analysis
The name Rhea was primarily given to the pipeline as a phonetic and visual link to the R language used throughout development. Moreover, as stated in the original publication,[1] the name was chosen to reflect the flowing and evolving nature of the scripts, as "flow" is one of the suggested etymology of the name of the mythological goddess Rhea.
References
- ^ a b Lagkouvardos, Ilias; Fischer, Sandra; Kumar, Neeraj; Clavel, Thomas (11 January 2017). "Rhea: a transparent and modular R pipeline for microbial profiling based on 16S rRNA gene amplicons". PeerJ. 5 e2836. doi:10.7717/peerj.2836. PMC 5234437. PMID 28097056.
- ^ "Rhea by Lagkouvardos". lagkouvardos.github.io.
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