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Bioconductor Packages

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The complete Bioconductor software ecosystem for bioinformatics in R. Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Founded in 2001, it has grown to ~3,700 packages spanning every major area of computational biology: - Gene expression analysis (DESeq2, edgeR, limma) - Single-cell analysis (SingleCellExperiment, scran, scater) - Proteomics and mass spectrometry (MSstats, OpenMS, mzR) - Flow cytometry (flowCore, flowClust) - Genomic annotation (GenomicFeatures, AnnotationDbi, biomaRt) - Sequence analysis (Biostrings, GenomicAlignments, Rsamtools) - Epigenomics (methylKit, ChIPseeker, bsseq) - Visualization (Gviz, ggbio, ComplexHeatmap) This portfolio maps each package to its upstream GitHub repository where available, falling back to the official Bioconductor mirror (github.com/bioc/*) otherwise — giving a more complete view of the authors, contributors, and development communities behind the Bioconductor ecosystem.

Created 4/16/2026 - Last updated 5/26/2026

3.7K

Projects

103.1K commits

214.9K

Recognition

13.7K citing papers

0

Reach

4.9K external users · 0 downloads

3.2K

Maintenance unknown

507 evaluated · 240 at-risk · 267 healthy

3.7K

Without canonical credit

of 3.7K · 0% have detected canonical

People & places

Bridge contributors

126

people contribute to 2+ projects in this portfolio · 9% of all contributors

Top citing institutions

  • Karolinska Institutet(SE)480
  • Harvard University(US)431
  • Science for Life Laboratory(SE)376
  • Uppsala University(SE)342
  • Centre National de la Recherche Scientifique(FR)336