Cargando…
A cross-package Bioconductor workflow for analysing methylation array data
Methylation in the human genome is known to be associated with development and disease. The Illumina Infinium methylation arrays are by far the most common way to interrogate methylation across the human genome. This paper provides a Bioconductor workflow using multiple packages for the analysis of...
Autores principales: | Maksimovic, Jovana, Phipson, Belinda, Oshlack, Alicia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916993/ https://www.ncbi.nlm.nih.gov/pubmed/27347385 http://dx.doi.org/10.12688/f1000research.8839.3 |
Ejemplares similares
-
Gene set enrichment analysis for genome-wide DNA methylation data
por: Maksimovic, Jovana, et al.
Publicado: (2021) -
DiffVar: a new method for detecting differential variability with application to methylation in cancer and aging
por: Phipson, Belinda, et al.
Publicado: (2014) -
SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips
por: Maksimovic, Jovana, et al.
Publicado: (2012) -
Removing unwanted variation in a differential methylation analysis of Illumina HumanMethylation450 array data
por: Maksimovic, Jovana, et al.
Publicado: (2015) -
Splatter: simulation of single-cell RNA sequencing data
por: Zappia, Luke, et al.
Publicado: (2017)