词条 | Rhea (pipeline) |
释义 |
| title = Rhea | name = Rhea | logo = Rhea Logo.png | logo size = 220px | logo caption = | screenshot = | caption = | collapsible = | author = | developer = Ilias Lagkouvardos, Sandra Fischer, Neeraj Kumar, Thomas Clavel | released = {{Start date|2016|11|16|df=yes/no}} | discontinued = | latest release version = 1.1.0 | latest release date = | latest preview version = | latest preview date = | status = | programming language = R | operating system = Windows, macOS, Ubuntu, Fedora, Red Hat Linux, openSUSE | platform = | size = | language = | genre = | license = MIT License | alexa = | website = https://lagkouvardos.github.io/Rhea/ }}{{context|date=March 2017}}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:
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. References1. ^1 {{cite journal|last1=Lagkouvardos|first1=Ilias|last2=Fischer|first2=Sandra|last3=Kumar|first3=Neeraj|last4=Clavel|first4=Thomas|title=Rhea: a transparent and modular R pipeline for microbial profiling based on 16S rRNA gene amplicons|journal=PeerJ|date=11 January 2017|volume=5|pages=e2836|doi=10.7717/peerj.2836}} {{science-software-stub}}2. ^{{cite web|title=Rhea by Lagkouvardos|url=https://lagkouvardos.github.io/Rhea/|website=lagkouvardos.github.io}} 4 : R (programming language)|Free R (programming language) software|Software using the MIT license|Science software for Linux |
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