VISTA
This is the development version of VISTA; for the stable release version, see VISTA.
All Bioconductor versions of VISTA
3.24 (devel), 3.23 (release)
Visualization and Integrated System for Transcriptomic Analysis
Bioconductor version: 3.24 · Package version: 1.1.5
The VISTA (Visualization and Integrated System for Transcriptomic Analysis) platform streamlines differential expression workflows by wrapping DESeq2 and edgeR into a SummarizedExperiment-based container with consistent metadata. The package includes visualization utilities, MSigDB enrichment helpers, and optional deconvolution support to simplify interactive exploration of RNA-seq experiments.
Author: Chirag Parsania [aut, cre] 
Maintainer: Chirag Parsania <chirag.parsania at gmail.com>
Citation
From within R, enter citation("VISTA"):
Chirag Parsania. VISTA: Visualization and Integrated System for Transcriptomic Analysis. doi:10.18129/B9.bioc.VISTA, R package version 1.1.5, https://bioconductor.org/packages/VISTA.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("VISTA")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.1.5 |
| License | GPL-3 |
| URL | https://github.com/cparsania/VISTA https://cparsania.github.io/VISTA/ |
| Bug Reports | https://github.com/cparsania/VISTA/issues |
| Last updated | 2026-08-06 |
| In Bioconductor since | BioC 3.23 (R-4.6) (less than a year) |
| Downloads rank | 2350 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, GeneExpression, RNASeq, Software, Transcriptomics, Visualization |
| Package Short Url | https://bioconductor.org/packages/VISTA/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("VISTA")| Complete RNA-seq Analysis Workflow with VISTA | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | VISTA_1.1.5.tar.gz |
| Windows binary (x86_64) | VISTA_1.1.5.zip |
| macOS binary (arm64) | VISTA_1.1.5.tgz |
| macOS binary (x86_64) | VISTA_1.1.5.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/VISTA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/VISTA |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.5.0)
Imports: AnnotationDbi, BiocGenerics, cli, clusterProfiler, colorspace, DESeq2, dplyr, edgeR, forcats, ggplot2, ggrepel, GGally, ggpubr, grDevices, graphics, grid, matrixStats, methods, msigdbr, limma, purrr, rlang, S4Vectors, scales, stats, stringr, SummarizedExperiment, tibble, tidyr, tidyselect, tools, utils
Suggests: airway, BiocStyle, circlize, ComplexHeatmap, DT, EnhancedVolcano, ggpointdensity, ggridges, ggalluvial, ggcorrplot, ggrain, ggvenn, enrichplot, knitr, magrittr, patchwork, org.Hs.eg.db, org.Mm.eg.db, quarto, rmarkdown, yaml, writexl, testthat (>= 3.0.0), uwot, xCell2