Pylluminator: fast and scalable analysis of DNA methylation data in Python
Elio Fanchon, Benjamin LoireiD, Jean-Philippe TraniiD, Frédérique MagdinieriD, Anaı̈s BaudotiD
Abstract
MotivationIllumina Infinium BeadChip technology for DNA methylation analysis continues to expand, with the latest EPICv2 arrays targeting about a million loci. As data volumes from this technology continue to grow, there is increasing demand for more scalable data processing solutions. Meanwhile, Python has gained significant interest in bioinformatics for its efficiency, versatility, and widespread use in data science and machine learning. Yet, no comprehensive Python toolkit exists for Illumina methylation array analysis. ResultsWe present Pylluminator, a Python implementation of essential analysis methods including pre-processing tools, quality control, differential methylation analysis, and visualizations. Based on the established R packages SeSAMe and ChAMP, Pylluminator provides a scalable, user-friendly toolkit for DNA methylation analysis. Availability and implementationPylluminator is an open-source package under MIT license available at https://github.com/eliopato/pylluminator. It was developed using Python 3.12 and can be installed with pip. The documentation with thorough installation instructions and examples can be found at https://pylluminator.readthedocs.io
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 1th percentile
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- pyMAP: a Python package for small and large scale analysis of Illumina 450k methylation platform
Amin Mahpour·bioRxiv·Jun 6, 2017
- A cross-package Bioconductor workflow for analysing methylation array data
Jovana Maksimovic, Belinda Phipson, Alicia Oshlack·bioRxiv·May 25, 2016
- mLiftOver: Harmonizing Data Across Infinium DNA Methylation Platforms
Brian H. Chen, Wanding Zhou·BioinformaticsPeer-reviewed·Jul 1, 2024
- Gene set enrichment analysis for genome-wide DNA methylation data
Jovana Maksimovic, Alicia Oshlack, Belinda Phipson·Genome biologyPeer-reviewed·Jun 8, 2021
- MethFlowVM: a virtual machine for the integral analysis of bisulfite sequencing data
Ricardo Lebrón, Guillermo Barturen, … Michael Hackenberg·bioRxiv·Jul 31, 2016
- The impact of low input DNA on the reliability of DNA methylation as measured by the Illumina Infinium MethylationEPIC BeadChip
Sarah Watkins, Karen M. Ho, … Caroline Laura Relton·EpigeneticsPeer-reviewed·Oct 14, 2022