This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see fobitools.
Bioconductor version: 3.15
A set of tools for interacting with Food-Biomarker Ontology (FOBI). A collection of basic manipulation tools for biological significance analysis, graphs, and text mining strategies for annotating nutritional data.
Author: Pol Castellano-Escuder [aut, cre] , Cristina Andrés-Lacueva [aut] , Alex Sánchez-Pla [aut]
Maintainer: Pol Castellano-Escuder <polcaes at gmail.com>
Citation (from within R,
enter citation("fobitools")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("fobitools")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("fobitools")
HTML | R Script | Dietary text annotation |
HTML | R Script | Simple food ORA |
HTML | R Script | Use case ST000291 |
HTML | R Script | Use case ST000629 |
Reference Manual | ||
Text | NEWS |
biocViews | Annotation, BiomedicalInformatics, Cheminformatics, GeneSetEnrichment, GraphAndNetwork, MassSpectrometry, Metabolomics, Pathways, Software, Visualization |
Version | 1.4.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (1.5 years) |
License | GPL-3 |
Depends | R (>= 4.1) |
Imports | clisymbols, crayon, dplyr, fgsea, ggplot2, ggraph, magrittr, ontologyIndex, purrr, RecordLinkage, stringr, textclean, tictoc, tidygraph, tidyr, vroom |
LinkingTo | |
Suggests | BiocStyle, covr, ggrepel, kableExtra, knitr, metabolomicsWorkbenchR, POMA, rmarkdown, rvest, SummarizedExperiment, testthat (>= 2.3.2), tidyverse |
SystemRequirements | |
Enhances | |
URL | https://github.com/pcastellanoescuder/fobitools/ |
BugReports | https://github.com/pcastellanoescuder/fobitools/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | fobitools_1.4.0.tar.gz |
Windows Binary | fobitools_1.4.0.zip (64-bit only) |
macOS Binary (x86_64) | fobitools_1.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/fobitools |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/fobitools |
Package Short Url | https://bioconductor.org/packages/fobitools/ |
Package Downloads Report | Download Stats |
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