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SwarnSeq

This is the development version of SwarnSeq; to use it, please install the devel version of Bioconductor.

Differential Expression and Differential Zero Inflation analysis

Bioconductor version: 3.24 · Package version: 0.99.5

This R package performs differential expression and differential zero inflation analysis of single-cell RNA-seq (scRNA-seq) UMI counts data through adjusting cell capture efficiency.

Author: Samarendra Das [aut, cre] ORCID iD ORCID: 0000-0002-0263-7027 , Satyajit Chhatoi [aut], Indian Council of Agricultural Research [fnd], Science and Engineering Research Board [fnd] (Core Research Grant (CRG004960))

Maintainer: Samarendra Das <samarendra.das at icar.org.in>

DOI: 10.18129/B9.bioc.SwarnSeq

Citation

From within R, enter citation("SwarnSeq"):

Samarendra Das, Satyajit Chhatoi. SwarnSeq: Differential Expression and Differential Zero Inflation analysis. doi:10.18129/B9.bioc.SwarnSeq, R package version 0.99.5, https://bioconductor.org/packages/SwarnSeq.

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("SwarnSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

Details

Version0.99.5
LicenseGPL-3
URLhttps://github.com/nifmd-bbf/SwarnSeq
Bug Reportshttps://github.com/nifmd-bbf/SwarnSeq/issues
Last updated2026-07-22
In Bioconductor sinceBioC 3.24 (R-4.6)
Downloads rank2430 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, GeneExpression, RNASeq, SingleCell, Software, StatisticalMethod
Package Short Url https://bioconductor.org/packages/SwarnSeq/

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SwarnSeq")
SwarnSeq HTML R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageSwarnSeq_0.99.5.tar.gz
Windows binary (x86_64)SwarnSeq_0.99.5.zip
macOS binary (arm64)SwarnSeq_0.99.5.tgz
macOS binary (x86_64)SwarnSeq_0.99.5.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SwarnSeq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SwarnSeq
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 4.5.0)

Imports: stats, MASS, edgeR, SingleCellExperiment, SummarizedExperiment

Suggests: knitr, rmarkdown, testthat (>= 3.0.0), BiocStyle