# limma

> Bioconductor package

**Wikidata**: [Q112236343](https://www.wikidata.org/wiki/Q112236343)  
**Source**: https://4ort.xyz/entity/limma

## Summary
limma is a Bioconductor package for the R programming language, widely used for differential expression analysis in genomic studies, particularly with RNA-sequencing and microarray data. It is a core tool in bioinformatics for identifying statistically significant changes in gene expression levels across experimental conditions.

## Key Facts
- **Instance of**: Software, R package.
- **Programming language**: R.
- **Funder**: Chan Zuckerberg Initiative (Essential Open Source Software for Science program grant).
- **Bioconductor project**: Part of the Bioconductor project for genomic data analysis.
- **Description**: Powers differential expression analyses for RNA-sequencing and microarray studies.
- **Package availability**: 
  - Debian: `r-bioc-limma`
  - Arch Linux: `r-limma` (AUR).
- **Aliases**: limma R package, limma package, リマRパッケージ, リマ・パッケージ.

## FAQs
### Q: What is limma used for?
A: limma is used for differential expression analysis in genomic studies, helping researchers identify genes with significant expression changes across conditions in RNA-seq and microarray experiments.

### Q: How is limma related to R and Bioconductor?
A: limma is an R package and part of the Bioconductor project, which provides tools for the analysis and comprehension of genomic data.

### Q: Who funds limma?
A: limma has received funding from the Chan Zuckerberg Initiative through its Essential Open Source Software for Science program.

## Why It Matters
limma is a foundational tool in bioinformatics and computational biology, enabling rigorous statistical analysis of high-throughput genomic data. Its ability to handle both microarray and RNA-seq data makes it versatile and widely adopted in research. By streamlining differential expression workflows, limma accelerates discoveries in fields like cancer biology, drug development, and precision medicine. Its integration with the R/Bioconductor ecosystem ensures interoperability with other tools, fostering reproducible research. Funding from the Chan Zuckerberg Initiative underscores its critical role in open-source science infrastructure.

## Notable For
- **Core Bioconductor package**: A cornerstone of the Bioconductor project for genomic analysis.
- **Multi-technology support**: Compatible with both microarray and RNA-seq data, adapting to evolving genomic technologies.
- **CZI funding**: Recognized by the Chan Zuckerberg Initiative for its essential role in scientific research.
- **Cross-platform availability**: Distributed via Debian (`r-bioc-limma`) and Arch Linux (`r-limma`) repositories, ensuring broad accessibility.

## Body
### Overview
limma is an R package and part of the Bioconductor project, designed for differential expression analysis in genomic studies. It provides statistical methods to identify genes or transcripts with significant expression changes across experimental conditions.

### Technical Details
- **Primary function**: Empowers differential expression analyses for RNA-sequencing and microarray studies.
- **Programming language**: Built for R, leveraging its statistical computing capabilities.
- **Package identifiers**:
  - Debian: `r-bioc-limma`
  - Arch Linux (AUR): `r-limma`.

### Funding
- **Funder**: Supported by the Chan Zuckerberg Initiative through its Essential Open Source Software for Science program (grant details referenced as of 2022-09-06).

### Distribution
- **Bioconductor**: Hosted as part of the Bioconductor project, ensuring integration with other genomic analysis tools.
- **Linux packages**: Available in Debian stable repositories and the Arch User Repository (AUR), facilitating easy installation on multiple platforms.

## References

1. [Source](https://chanzuckerberg.com/eoss/proposals/)