This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see CoSIA.
Bioconductor version: 3.17
Cross-Species Investigation and Analysis (CoSIA) is a package that provides researchers with an alternative methodology for comparing across species and tissues using normal wild-type RNA-Seq Gene Expression data from Bgee. Using RNA-Seq Gene Expression data, CoSIA provides multiple visualization tools to explore the transcriptome diversity and variation across genes, tissues, and species. CoSIA uses the Coefficient of Variation and Shannon Entropy and Specificity to calculate transcriptome diversity and variation. CoSIA also provides additional conversion tools and utilities to provide a streamlined methodology for cross-species comparison.
Author: Anisha Haldar [aut] , Vishal H. Oza [aut] , Amanda D. Clark [cre, aut] , Nathaniel S. DeVoss [aut] , Brittany N. Lasseigne [aut]
Maintainer: Amanda D. Clark <amanda at freshairfamily.org>
Citation (from within R,
enter citation("CoSIA")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("CoSIA")
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("CoSIA")
HTML | R Script | CoSIA_Intro |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | BiologicalQuestion, DataImport, GUI, GeneExpression, MultipleComparison, Software, ThirdPartyClient |
Version | 1.0.0 |
In Bioconductor since | BioC 3.17 (R-4.3) (< 6 months) |
License | MIT + file LICENSE |
Depends | R (>= 4.3.0), methods (>= 4.3.0), ExperimentHub(>= 2.7.0) |
Imports | dplyr (>= 1.0.7), magrittr (>= 2.0.1), RColorBrewer (>= 1.1-2), tidyr (>= 1.2.0), plotly (>= 4.10.0), stringr (>= 1.4.0), ggplot2 (>= 3.3.5), tibble (>= 3.1.7), org.Hs.eg.db(>= 3.12.0), org.Mm.eg.db(>= 3.12.0), org.Dr.eg.db(>= 3.12.0), org.Ce.eg.db(>= 3.12.0), org.Dm.eg.db(>= 3.12.0), org.Rn.eg.db(>= 3.12.0), AnnotationDbi(>= 1.52.0), biomaRt(>= 2.46.3), homologene (>= 1.4.68.19), annotationTools(>= 1.64.0), readr (>= 2.1.1), tidyselect (>= 1.1.2), stats (>= 4.1.2) |
LinkingTo | |
Suggests | BiocStyle(>= 2.22.0), tidyverse (>= 1.3.1), knitr (>= 1.42), rmarkdown (>= 2.20), testthat (>= 3.1.6), qpdf (>= 1.3.0) |
SystemRequirements | |
Enhances | |
URL | https://www.lasseigne.org/ |
BugReports | https://github.com/lasseignelab/CoSIA/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 | CoSIA_1.0.0.tar.gz |
Windows Binary | CoSIA_1.0.0.zip |
macOS Binary (x86_64) | CoSIA_1.0.0.tgz |
macOS Binary (arm64) | CoSIA_1.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CoSIA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CoSIA |
Bioc Package Browser | https://code.bioconductor.org/browse/CoSIA/ |
Package Short Url | https://bioconductor.org/packages/CoSIA/ |
Package Downloads Report | Download Stats |
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