Skip to content
SPECIFICTION
Get listed

Bioconductor

bioconductor.org

Free plan Open source WebWindowsmacOSLinuxSelf-hosted
Visit bioconductor.org
Spec score 9.1 #1 of 28 in Package Registries

What it is

Bioconductor develops and shares free, open-source software for rigorous and reproducible analysis of biological data. It serves researchers and data scientists working with biological and genomic datasets. The project uses R, with most components distributed as R packages. Those packages support analysis of DNA microarray, sequence, flow, SNP, and other genetic or genomic data. Tools can associate genomic data with biological metadata from sources such as GenBank, Entrez genes, and PubMed. Each package includes one or more task-oriented vignettes, and reproducible research is a stated project goal. Bioconductor maintains a stable release updated twice a year and a development version for new features and packages. Each release is designed for a specific R version; the current release page lists Bioconductor 3.23 with R 4.6.0. Docker containers with preinstalled R and Bioconductor versions support reproducible environments. The project documents container deployment with Amazon ECS, Google Kubernetes Engine, Microsoft Azure Container Instances, and Docker Desktop or Docker Engine. Help is available through its Support site and community chat. The project began in 2001 and is overseen by a core team.

Spec sheet

What it does
Bioconductor develops open-source software for precise, repeatable analysis of biological data.Read 15 Oct 2026 · bioconductor.org
Purpose
Bioconductor develops and shares open-source software for rigorous, reproducible analysis of biological data.Read 7 Oct 2026 · bioconductor.org
Intended users
The project serves researchers and data scientists working with biological and genomic data.Read 7 Oct 2026 · bioconductor.org
Integrations
SourceForge lists integrations with R and Docker.Read 15 Oct 2026 · sourceforge.net
Support
SourceForge lists online support, documentation and videos as available support resources.Read 15 Oct 2026 · sourceforge.net
Founded
2001Read 28 Sep 2026 · bioconductor.org
Analysis methods
Its packages support analysis of DNA microarray, sequence, flow, SNP, and other genetic or genomic data.Read 7 Oct 2026 · bioconductor.org
Biological annotation
Annotation tools connect genomic results with resources including GenBank, Entrez Genes, PubMed, Gene Ontology and UCSC data.Read 15 Oct 2026 · bioconductor.org
Common platform
The project aims to provide extensible, scalable and interoperable software through shared data structures and package conventions.Read 15 Oct 2026 · bioconductor.org
Company founding
Bioconductor started in 2001.Read 15 Oct 2026 · bioconductor.org
Company location
SourceForge lists Bioconductor's company information location as the United States.Read 15 Oct 2026 · sourceforge.net
Compatibility limit
Each Bioconductor release is designed for a specific R version; the current release page lists Bioconductor 3.23 with R 4.6.0.Read 7 Oct 2026 · bioconductor.org
Current release
Release 3.23 was published April 29, 2026 with 2,418 software packages and R 4.6 compatibility.Read 15 Oct 2026 · bioconductor.org
Dependencies
The project warns that its structured releases create extensive inter-package dependencies and require packages to stay within a compatible release.Read 15 Oct 2026 · bioconductor.org
Developer extensibility
Developers can submit R packages that undergo open review and are expected to meet documentation, interoperability and build-check requirements.Read 15 Oct 2026 · journals.plos.org
Docker
Official Docker images are provided for every supported Bioconductor release plus a development image.Read 15 Oct 2026 · bioconductor.org
Documentation
Each package contains one or more task-oriented vignettes, including tutorials and workflow explanations.Read 15 Oct 2026 · bioconductor.org
Genomic analysis
Its packages cover DNA microarray, sequence, flow-cytometry, SNP and other genomic-data analyses.Read 15 Oct 2026 · bioconductor.org
Installation
The recommended installer is BiocManager, which selects repositories matching the installed R and Bioconductor versions.Read 15 Oct 2026 · bioconductor.org
Licence
Core Bioconductor packages are typically licensed under Artistic-2.0, while individual packages may use other open-source licences.Read 15 Oct 2026 · contributions.bioconductor.org
Limit: compatibility
Respondents reported friction with tidyverse compatibility, duplicate packages, namespace collisions and some packages that install dependencies unexpectedly.Read 15 Oct 2026 · sa-lee.github.io
Limit: learning curve
Survey respondents reported a steep learning curve because the ecosystem contains many packages and choices.Read 15 Oct 2026 · sa-lee.github.io
Limit: outages
The public status history records incidents including a package-stats failure lasting 26 hours 58 minutes and an archive outage lasting 24 hours 3 minutes.Read 15 Oct 2026 · dev.status.bioconductor.org
Limit: release cycle
Survey respondents said the six-month development and release cycle can be inconvenient and that non-Bioconductor dependencies can be difficult to identify.Read 15 Oct 2026 · sa-lee.github.io
Limit: website usability
Survey respondents criticized the website as difficult for new users and developer information as redundant or scattered.Read 15 Oct 2026 · sa-lee.github.io
LinkedIn founding fact
LinkedIn describes Bioconductor as an open-source project founded in 2001 and used in bioinformatics and biomedical research.Read 15 Oct 2026 · linkedin.com
Metadata
Bioconductor provides tools for associating genomic data with biological metadata from resources including GenBank, Entrez genes, and PubMed.Read 7 Oct 2026 · bioconductor.org
Praise: community
Respondents repeatedly described the community and support forums as friendly, active and helpful.Read 15 Oct 2026 · sa-lee.github.io
Praise: documentation
Survey respondents frequently praised vignettes, tutorials, documentation standards and training materials.Read 15 Oct 2026 · sa-lee.github.io
Praise: ecosystem
Community survey respondents repeatedly praised the breadth of packages, central repository and wide range of biological methods.Read 15 Oct 2026 · sa-lee.github.io
Praise: interoperability
Respondents praised common classes, shared APIs and interoperability between packages.Read 15 Oct 2026 · sa-lee.github.io
Primary language
Most Bioconductor components are distributed as R packages and use the R statistical computing environment.Read 15 Oct 2026 · bioconductor.org
Privacy and security
Bioconductor says personal information is protected with appropriate technical and organizational measures and is primarily stored in the United States.Read 15 Oct 2026 · bioconductor.org
Project history
The Bioconductor project started in 2001 and is overseen by a core team.Read 7 Oct 2026 · bioconductor.org
R-based
Bioconductor uses the R statistical programming language, and most components are distributed as R packages.Read 7 Oct 2026 · bioconductor.org
Rating on G2
0 out of 5 from 0 reviews; G2 reports zero ratings and insufficient review data for Bioconductor.Read 15 Oct 2026 · g2.com
Rating on SourceForge
0.0 out of 5 from 0 reviews; SourceForge says the software has not yet been reviewed.Read 15 Oct 2026 · sourceforge.net
Release cadence
Stable Bioconductor releases are issued twice a year and each is tied to a specific R version.Read 15 Oct 2026 · bioconductor.org
Release schedule
Bioconductor has a stable release updated twice each year and a development version for new features and packages.Read 7 Oct 2026 · bioconductor.org
Reproducibility
Each package includes one or more task-oriented vignettes, and the project identifies reproducible research as a goal.Read 7 Oct 2026 · bioconductor.org
Review process
A PLOS Computational Biology article states that submitted packages are reviewed openly on GitHub and maintainers must respond to build errors and support questions after acceptance.Read 15 Oct 2026 · journals.plos.org
Security and conduct
The project publishes a Code of Conduct policy for its community; the reviewed official pages do not state a security certification or compliance standard.Read 7 Oct 2026 · bioconductor.org
Self-hosting
The Docker images can run RStudio Server, command-line R or a shell locally and support mounted host volumes.Read 15 Oct 2026 · bioconductor.org
Source-build limitation
Recompiling all packages after operating-system changes can require substantial bandwidth, compilation time and local compilers.Read 15 Oct 2026 · bioconductor.org
Supported systems
Bioconductor 3.23 supports Linux, 64-bit Windows, Intel macOS 11 or later, macOS arm64 and Linux arm64.Read 15 Oct 2026 · new.bioconductor.org
Training
Bioconductor publishes short courses, lectures and computer labs for genomic software and statistical methods.Read 15 Oct 2026 · bioconductor.org
Version management
BiocManager supports separate stable-release and development branches and can check whether packages are outdated or incompatible.Read 15 Oct 2026 · bioconductor.org

Plans and prices

Bioconductor Free Free open-source software; no paid plans or usage limits stated Read 7 Oct 2026 · bioconductor.org
Free Free Free open-source bioinformatics software · R packages · Docker containers Read 15 Oct 2026 · sourceforge.net

Every Bioconductor plan and price →

Strong points and limits

Strong points

  • Free, open-source software with no paid plans stated.
  • Packages cover multiple genetic and genomic data types.
  • Task-oriented vignettes accompany each package.
  • Docker containers provide preinstalled R and Bioconductor versions.
  • Support site and community chat are available.

Limits

  • Each release targets a specific R version.
  • Most components require the R ecosystem.
  • No security certification or compliance standard is stated.

Who it suits

Bioconductor suits researchers and data scientists analyzing biological or genomic data in R. It is particularly relevant to users who need package-based analyses and reproducible environments.

Verdict

Bioconductor focuses on biological and genomic analysis through an R package ecosystem. Its release-specific R compatibility is an important consideration when choosing an environment.

Where Specifiction places it

Alternatives to BioconductorAll alternatives →