Bioconductor
Sign in to saveBioconductor is a free, open source and open development software project for the analysis and comprehension of genomic data generated by wet lab experiments in molecular biology.
Key facts
- Software.name
- Bioconductor
- Software.logo
- Bioconductor logo.svg
- Software.logo size
- 260px
- Software.caption
- Screenshot of Bioconductor
- Software.latest_release_version
- 3.22
- Software.operating_system
- Linux, macOS, Windows
- Software.platform
- R programming language
- Software.genre
- Bioinformatics
- Software.license
- Artistic License 2.0
via Wikipedia infobox
Wikidata facts
- Official website
- www.bioconductor.org
- Image
- Bioconductors packs plot.png
Show 3 more facts
- Stack Exchange tag
- stackoverflow.com/tags/bioconductor
- software version identifier
- 3.6
- social media followers
- 1128
Sources (6)
via Wikidata · CC0
~15 min read
Article
26 sectionsContents
- Packages
- Goals
- Main features
- Milestones
- Application of Bioconductor in small-RNA seq and microRNA data analysis
- Introduction
- Bioconductor in RNA Biology
- [[DESeq2]]
- edgeR
- limma + voom
- GenomicAlignment
- GenomicFeatures
- Rsubread
- ShortRead
- Computational Workflow
- Data Import and Quality Control
- Adapter Trimming and Filtering
- Read Alignment
- Annotation of microRNAs
- Quantification
- Differential Expression Analysis
- Visualization
- Resources
- See also
- References
- External links
Bioconductor is a free, open source and open development software project for the analysis and comprehension of genomic data generated by wet lab experiments in molecular biology.
Bioconductor is based primarily on the statistical R programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. At any one time there is a release version, which corresponds to the released version of R, and a development version, which corresponds to the development version of R. Most users will find the release version appropriate for their needs. In addition there are many genome annotation packages available that are mainly, but not solely, oriented towards different types of microarrays.