A computational biologist's toolkit to get data from avidaDB
c(person(given = "Miguel A.",
family = "Fortuna",
email = "fortuna@ebd.csic.es",
role = "aut",
comment = c(ORCID = "0000-0002-8374-1941")),
person(given = "Raúl",
family = "Ortega",
role = "cre",
email = "raul.ortega@ebd.csic.es",
comment = c(ORCID = "0000-0002-1306-5378")))
It provides users of the R programming language with easy-to-use
tools for performing complex queries on avidaDB, a semantic database that
stores genomic and transcriptomic data of self-replicating computer programs
(known as digital organisms) that mutate and evolve within a user-defined
computational environment. The functions send SPARQL queries to the
avidaDB endpoint <https://graphdb.fortunalab.org/repositories/avidaDB>.

A Computational Biologist’s Toolkit To Get Data From ‘avidaDB’
Easy-to-use tools for performing complex queries on 'avidaDB', a
semantic database that stores genomic and transcriptomic data of
self-replicating computer programs (known as digital organisms) that mutate
and evolve within a user-defined computational environment.

A Computational Biologist’s Toolkit To Get Data From 'avidaDB'

Provides a weekly summary of Hass Avocado sales for the
contiguous US from January 2017 to November 2020.
See the package website for more information, documentation,
and examples. Data source: Haas Avocado Board
<https://hassavocadoboard.com/category-data/>.
dplyr, purrr, ggplot2, janitor, knitr, rmarkdown, lubridate,
tidyr, ggrepel

c(person("Julien", "Boelaert", role= c("aut", "cre"), email="julien.boelaert@univ-lille.fr"),
person("Etienne", "Ollion", role= "aut"),
person("Jan", "Sodoge", role= "aut"),
person("Mohamed", "Megdoud", role= "ctb"),
person("Otmane", "Naji", role= "ctb"),
person("Arnaud", "Lemba Kote", role= "ctb"),
person("Theo", "Renoud", role= "ctb"),
person("Samuel", "Hym", role= "ctb"))
Self-organizing maps (also known as SOM, see Kohonen (2001) <doi:10.1007/978-3-642-56927-2>) are a method for dimensionality reduction and clustering of continuous data. This package introduces interactive (html) graphics for easier analysis of SOM results. It also features an interactive interface, for push-button training and visualization of SOM, as well as tools to evaluate the quality of SOM.
kohonen, shiny, htmlwidgets, rmarkdown, htmltools, rclipboard,
RColorBrewer, viridis, data.table, DT, kernlab, stats, cluster,
e1071, haven, foreign, readxl
Julien Boelaert [aut, cre],
Etienne Ollion [aut],
Jan Sodoge [aut],
Mohamed Megdoud [ctb],
Otmane Naji [ctb],
Arnaud Lemba Kote [ctb],
Theo Renoud [ctb],
Samuel Hym [ctb]