Open access · OA
via OpenAlex
Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays
Martin J. Aryee, Andrew E. Jaffe, Héctor Corrada Bravo, Christine Ladd‐Acosta, Andrew P. Feinberg, Kasper D. Hansen, Rafael A. Irizarry
Bioinformatics · 2014 · ▲ 4,823 citations
Abstract
MOTIVATION: The recently released Infinium HumanMethylation450 array (the '450k' array) provides a high-throughput assay to quantify DNA methylation (DNAm) at ∼450 000 loci across a range of genomic features. Although less comprehensive than high-throughput sequencing-based techniques, this product is more cost-effective and promises to be the most widely used DNAm high-throughput measurement technology over the next several years. RESULTS: Here we describe a suite of computational tools that incorporate state-of-the-art statistical techniques for the analysis of DNAm data. The software is structured to easily adapt to future versions of the technology. We include methods for preprocessing, quality assessment and detection of differentially methylated regions from the kilobase to the megabase scale. We show how our software provides a powerful and flexible development platform for future methods. We also illustrate how our methods empower the technology to make discoveries previously thought to be possible only with sequencing-based methods. AVAILABILITY AND IMPLEMENTATION: http://bioconductor.org/packages/release/bioc/html/minfi.html. CONTACT: [email protected]; [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1093/bioinformatics/btu049
- Canonical
- link ↗
- Fetched
- 2026-06-05 MST
Cite this
APA
Aryee, M.J., Jaffe, A.E., Bravo, H.C., Ladd‐Acosta, C., Feinberg, A.P., Hansen, K.D., & Irizarry, R.A. (2014). Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. <em>Bioinformatics</em>. https://doi.org/10.1093/bioinformatics/btu049
Vancouver
Aryee MJ, Jaffe AE, Bravo HC, Ladd‐Acosta C, Feinberg AP, Hansen KD, et al. Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics. 2014. doi:10.1093/bioinformatics/btu049.
BibTeX
@article{martin2014Minfia,
title = {Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays},
author = {Martin J. Aryee and Andrew E. Jaffe and Héctor Corrada Bravo and Christine Ladd‐Acosta and Andrew P. Feinberg and Kasper D. Hansen and Rafael A. Irizarry},
journal = {Bioinformatics},
year = {2014},
doi = {10.1093/bioinformatics/btu049},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
Bone 2022
Preprint · OA
Associations between leukocyte telomere length and osteosarcopenia in 20,400 adults aged 60 years and over: Data from the UK Biobank
Journal of Translational Medicine 2016
Open access · CC-BY
Age-associated hydroxymethylation in human bone-marrow mesenchymal stem cells
Journal of Biological Chemistry 2015
Open access · CC-BY
Neil2-null Mice Accumulate Oxidized DNA Bases in the Transcriptionally Active Sequences of the Genome and Are Susceptible to Innate Inflammation
Proceedings of the National Academy of Sciences 2012
Open access · OA
Distinct DNA methylomes of newborns and centenarians
Aging Cell 2022
Open access · CC-BY
DNA methylation signatures in Blood DNA of Hutchinson–Gilford Progeria syndrome
Journal of Biological Chemistry 2005
Open access · CC-BY