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knowYourCG

This is thereleased version of knowYourCG; for the devel version, seeknowYourCG.

Functional analysis of DNA methylome datasets

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DOI: 10.18129/B9.bioc.knowYourCG


Bioconductor version: Release (3.22)

KnowYourCG (KYCG) is a supervised learning framework designed for the functional analysis of DNA methylation data. Unlike existing tools that focus on genes or genomic intervals, KnowYourCG directly targets CpG dinucleotides, featuring automated supervised screenings of diverse biological and technical influences, including sequence motifs, transcription factor binding, histone modifications, replication timing, cell-type-specific methylation, and trait-epigenome associations. KnowYourCG addresses the challenges of data sparsity in various methylation datasets, including low-pass Nanopore sequencing, single-cell DNA methylomes, 5-hydroxymethylation profiles, spatial DNA methylation maps, and array-based datasets for epigenome-wide association studies and epigenetic clocks.

Author: Zhou Wanding [aut]ORCID iD ORCID: 0000-0001-9126-1932, Goldberg David [aut, cre]ORCID iD ORCID: 0000-0002-9622-4708, Fu Hongxiang [ctb]

Maintainer: Goldberg David <golddc72 at pennmedicine.upenn.edu>

Citation (from within R, entercitation("knowYourCG")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("knowYourCG")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("knowYourCG")
1. Sequencing Data AnalysisHTMLR Script
2. Array Data AnalysisHTMLR Script
3. Continuous Variable Enrichment AnalysisHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDNAMethylation,Epigenetics,MethylationArray,Sequencing,SingleCell,Software,Spatial
Version1.6.0
In Bioconductor sinceBioC 3.19 (R-4.4) (1.5 years)
LicenseMIT + fileLICENSE
DependsR (>= 4.4.0)
ImportssesameData,dplyr, methods,rlang,GenomicRanges,IRanges,reshape2,S4Vectors, stats,stringr, utils,ggplot2,ggrepel,tibble,wheatmap,magrittr
System Requirements
URLhttps://github.com/zhou-lab/knowYourCG
Bug Reportshttps://github.com/zhou-lab/knowYourCG/issues
See More
Suggeststestthat (>= 3.0.0),SummarizedExperiment,rmarkdown,knitr,sesame,gprofiler2,ggrastr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageknowYourCG_1.6.0.tar.gz
Windows Binary (x86_64) knowYourCG_1.5.2.zip
macOS Binary (x86_64)knowYourCG_1.6.0.tgz
macOS Binary (arm64)knowYourCG_1.6.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/knowYourCG
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/knowYourCG
Bioc Package Browserhttps://code.bioconductor.org/browse/knowYourCG/
Package Short Urlhttps://bioconductor.org/packages/knowYourCG/
Package Downloads ReportDownload Stats

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