| Title: | epidecodeR: a functional exploration tool for epigenetic and epitranscriptomic regulation |
|---|---|
| Description: | epidecodeR is a package capable of analysing impact of degree of DNA/RNA epigenetic chemical modifications on dysregulation of genes or proteins. This package integrates chemical modification data generated from a host of epigenomic or epitranscriptomic techniques such as ChIP-seq, ATAC-seq, m6A-seq, etc. and dysregulated gene lists in the form of differential gene expression, ribosome occupancy or differential protein translation and identify impact of dysregulation of genes caused due to varying degrees of chemical modifications associated with the genes. epidecodeR generates cumulative distribution function (CDF) plots showing shifts in trend of overall log2FC between genes divided into groups based on the degree of modification associated with the genes. The tool also tests for significance of difference in log2FC between groups of genes. |
| Authors: | Kandarp Joshi [aut, cre], Dan Ohtan Wang [aut] |
| Maintainer: | Kandarp Joshi <[email protected]> |
| License: | GPL-3 |
| Version: | 1.15.0 |
| Built: | 2024-11-29 07:12:33 UTC |
| Source: | https://github.com/bioc/epidecodeR |
Analysis function for generating epidecodeR object. This function distributes dysregulated genes into user defined groups and calculates cumulative probabilities and ANOVA test statistics for significance testing in difference of log2FC means between groups of dysregulated genes
epidecodeR(events, deg, gtf_file, id_type, boundaries, pval, param, ints)epidecodeR(events, deg, gtf_file, id_type, boundaries, pval, param, ints)
events |
(char) - Name of events file. This can be a txt file with two columns: 1) id & 2) counts of events in the gene. Optionally, users can provide a 3+ column .bed file. The count of events per gene in fourth column are calculated to determine degree of events per gene; Default NULL |
deg |
(char) - Name of dysregulated genes file. This file is a three column file consisting of column 1: id (Make sure ID type matches between events and deg); column 2) log2foldchange; 3) P value of signficance of fold change; Default NULL |
gtf_file |
(char) - Name of compressed gtf file. Use gtf file if .bed file used as events input and users wish to count events per gene from bed file by comparing coordinates in bed to gene coordinates in gtf to assign events to genes. Note: For coordinates overlapping to multiple features in gtf, only one feature is assigned to the coordinate, which is choosen arbitrarily; Default NULL |
id_type |
(char) - Name of id type used to count events per gene. ID type must match between events and DEG file. For example, if 'gene_name' is used as ID type in DEG file, same ID type must be used to assign coordinates to genes. In case the DEG list contains two ID types merged e.g. 'ENSMUSG00000035299.16|Mid1' users can give merge as parameter for id_type; Default gene_name |
boundaries |
(numeric) - Number of base pairs to include within boundries of genes for event counting. This option adds # of bases to start and end of coordinates of the genes to include promotor regions within gene for overlap with bed files and event counting; Default 0 |
pval |
(numeric) - P value cut-off of dysregulated genes in DEG file to be considered for distribution into groups. Default: 0.05 |
param |
(numeric) - Defines the number and size of groups of dysregulated genes. Allowed values are param = 1 [0 events: 1+ events]; param = 2 [0 events: 1-N event: (N+1)+ event]; param = 3 [0 events; 1 event; 2-N events; (N+1)+ events]; N is user defined limit of the group provided using ints parameter |
ints |
(vector) - A vector of intervals defining limits of the degree of group for param = 2 and param = 3. e.g. c(1, 4) or c(2, 5): For param = 2, Default :c(1,4) and for param = 3, Default: c(2,5) |
An epidecodeR object containing tables of theoretical and empirical cumulative probabilities of the log2FC (quantiles), tables of genes distributed into user defined groups, counts of genes per user defined groups, table of one-way ANOVA significance testing for difference in mean log2FC of groups of genes
events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4))events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4))
epidecodeR object - a S4 class object
tdata.frame.
edata.frame.
eventcountsnumeric.
grptableslist.
grpcountsinteger.
sign.testdata.frame.
get_empirical_table method
get_empirical_table(object) ## S4 method for signature 'epidecodeR' get_empirical_table(object)get_empirical_table(object) ## S4 method for signature 'epidecodeR' get_empirical_table(object)
object |
epidecodeR object |
empirical_table
events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_empirical_table(epiobj)events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_empirical_table(epiobj)
get_eventcounts method
get_eventcounts(object) ## S4 method for signature 'epidecodeR' get_eventcounts(object)get_eventcounts(object) ## S4 method for signature 'epidecodeR' get_eventcounts(object)
object |
epidecodeR object |
eventcounts
events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_eventcounts(epiobj)events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_eventcounts(epiobj)
get_grpcounts method
get_grpcounts(object) ## S4 method for signature 'epidecodeR' get_grpcounts(object)get_grpcounts(object) ## S4 method for signature 'epidecodeR' get_grpcounts(object)
object |
epidecodeR object |
grpcounts
events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_grpcounts(epiobj)events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_grpcounts(epiobj)
get_grptables method
get_grptables(object) ## S4 method for signature 'epidecodeR' get_grptables(object)get_grptables(object) ## S4 method for signature 'epidecodeR' get_grptables(object)
object |
epidecodeR object |
grptables
events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_grptables(epiobj)events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_grptables(epiobj)
get_signtest method
get_signtest(object) ## S4 method for signature 'epidecodeR' get_signtest(object)get_signtest(object) ## S4 method for signature 'epidecodeR' get_signtest(object)
object |
epidecodeR object |
signtest table
events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_signtest(epiobj)events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_signtest(epiobj)
get_theoretical_table method
get_theoretical_table(object) ## S4 method for signature 'epidecodeR' get_theoretical_table(object)get_theoretical_table(object) ## S4 method for signature 'epidecodeR' get_theoretical_table(object)
object |
epidecodeR object |
theoretical_table
events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_theoretical_table(epiobj)events<-system.file("extdata", "NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) get_theoretical_table(epiobj)
Generate CDF plot using epidecodeR object generated using epidecodeR function
makeplot(obj, type, lim, title, xlab, ylab)makeplot(obj, type, lim, title, xlab, ylab)
obj |
epidecodeR object - epidecodeR object generated using epidecodeR function |
type |
char - Type of CDF plot to generate; Accepted values 't': theoretical CDF plot; 'e': empirical CDF plot; 'both': Creates both theoretical and empirical plots. Default: both |
lim |
vector - Upper and lower limits of log2FC for X-axis |
title |
char - Title of the plot |
xlab |
char - X-axis label |
ylab |
char - Y-axis label |
A CDF plot
events<-system.file("extdata","NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) makeplot(epiobj, lim = c(-10,10), xlab = "log2FC")events<-system.file("extdata","NOMO-1_ref_peaks.bed", package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) makeplot(epiobj, lim = c(-10,10), xlab = "log2FC")
Generates boxplot of distribution of log2FC of dysregulated genes and adjusted P value of signficance test of difference in mean log2FC between groups computed using one-way ANOVA test
plot_test(obj, title, ylab)plot_test(obj, title, ylab)
obj |
epidecodeR object - epidecodeR object generated using epidecodeR function |
title |
Title of the plot |
ylab |
Y-axis label |
Boxplot of distribution of log2FC of dysregulated genes between groups
events<-system.file("extdata","NOMO-1_ref_peaks.bed",package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) plot_test(epiobj,title="log2FC distribution based on m6A degree",ylab="log2FC")events<-system.file("extdata","NOMO-1_ref_peaks.bed",package="epidecodeR") deg<-system.file("extdata", "FTOi.txt", package="epidecodeR") epiobj<-epidecodeR(events=events,deg=deg,pval=0.05,param=3,ints=c(2,4)) plot_test(epiobj,title="log2FC distribution based on m6A degree",ylab="log2FC")