## ----style,eval=TRUE,echo=FALSE,results='hide'----------------------------- BiocStyle::latex2 ## ----eval=TRUE,echo=TRUE--------------------------------------------------- #Create a temporary test folder, or anywhere you want: SA_AnalysisDir=file.path(tempdir(),"MACPETtest") dir.create(SA_AnalysisDir)#where you will save the results. ## -------------------------------------------------------------------------- library(MACPET) ## -------------------------------------------------------------------------- load(system.file("extdata", "MACPET_pselfData.rda", package = "MACPET")) class(MACPET_pselfData) #example name MACPET_pselfData #print method ## -------------------------------------------------------------------------- metadata(MACPET_pselfData) ## -------------------------------------------------------------------------- seqinfo(MACPET_pselfData) ## -------------------------------------------------------------------------- load(system.file("extdata", "MACPET_psfitData.rda", package = "MACPET")) class(MACPET_psfitData) #example name MACPET_psfitData #print method ## -------------------------------------------------------------------------- head(metadata(MACPET_psfitData)$Peaks.Info) ## -------------------------------------------------------------------------- load(system.file("extdata", "MACPET_pinterData.rda", package = "MACPET")) class(MACPET_pinterData) #example name MACPET_pinterData #print method ## ----eval=TRUE------------------------------------------------------------- metadata(MACPET_pinterData) ## -------------------------------------------------------------------------- load(system.file("extdata", "MACPET_pintraData.rda", package = "MACPET")) class(MACPET_pintraData)#example name MACPET_pintraData#print method ## -------------------------------------------------------------------------- metadata(MACPET_pintraData) ## -------------------------------------------------------------------------- class(MACPET_pselfData) summary(MACPET_pselfData) ## -------------------------------------------------------------------------- class(MACPET_psfitData) summary(MACPET_psfitData) ## -------------------------------------------------------------------------- class(MACPET_pintraData) requireNamespace("ggplot2") requireNamespace("reshape2") summary(MACPET_pintraData,heatmap=TRUE) ## -------------------------------------------------------------------------- class(MACPET_pinterData) requireNamespace("ggplot2") requireNamespace("reshape2") summary(MACPET_pinterData,heatmap=TRUE) ## -------------------------------------------------------------------------- requireNamespace("ggplot2") class(MACPET_pselfData) # PET counts plot plot(MACPET_pselfData) ## -------------------------------------------------------------------------- class(MACPET_psfitData) #binding site couts: plot(MACPET_psfitData,kind="PeakCounts") ## -------------------------------------------------------------------------- # region example with binding sites: plot(MACPET_psfitData,kind="PeakPETs",RegIndex=1) ## -------------------------------------------------------------------------- class(MACPET_pintraData) #plot counts: plot(MACPET_pintraData) ## -------------------------------------------------------------------------- class(MACPET_pinterData) requireNamespace("igraph") #network plot: plot(MACPET_pinterData) ## ----eval=TRUE,echo=TRUE--------------------------------------------------- class(MACPET_psfitData)#PSFit class exportPeaks(object=MACPET_psfitData,file.out="Peaks",threshold=1e-5,savedir=SA_AnalysisDir) ## ----eval=TRUE,echo=TRUE--------------------------------------------------- class(MACPET_psfitData)#PSFit class object=PeaksToGRanges(object=MACPET_psfitData,threshold=1e-5) object ## ----eval=TRUE,echo=TRUE--------------------------------------------------- class(MACPET_psfitData)#PSFit class TagsToGInteractions(object=MACPET_psfitData,threshold=1e-5) ## ----eval=TRUE,echo=TRUE--------------------------------------------------- class(MACPET_psfitData)#PSFit class PeaksToNarrowPeak(object=MACPET_psfitData,threshold=1e-5, file.out="MACPET_peaks.narrowPeak",savedir=SA_AnalysisDir) ## ----eval=TRUE,echo=TRUE--------------------------------------------------- #--remove information and convert to GInteractions: object=MACPET_pselfData #--remove information and convert to GInteractions: S4Vectors::metadata(object)=list(NULL) class(object)='GInteractions' #----input parameters S2_BlackList=TRUE SA_prefix="MACPET" S2_AnalysisDir=SA_AnalysisDir ConvertToPSelf(object=object, S2_BlackList=S2_BlackList, SA_prefix=SA_prefix, S2_AnalysisDir=S2_AnalysisDir) #load object: rm(MACPET_pselfData)#old object load(file.path(S2_AnalysisDir,"MACPET_pselfData")) class(MACPET_pselfData) ## ----echo=TRUE,eval=TRUE--------------------------------------------------- AnalysisStatistics(x.self=MACPET_psfitData, x.intra=MACPET_pintraData, x.inter=MACPET_pinterData, file.out='AnalysisStats', savedir=SA_AnalysisDir, threshold=1e-5) ## ----echo=TRUE,eval=TRUE--------------------------------------------------- requireNamespace('ggplot2') #Create a temporary forder, or anywhere you want: S1_AnalysisDir=SA_AnalysisDir #directories of the BAM files: BAM_file_1=system.file('extdata', 'SampleChIAPETDataRead_1.bam', package = 'MACPET') BAM_file_2=system.file('extdata', 'SampleChIAPETDataRead_2.bam', package = 'MACPET') SA_prefix="MACPET" #convert to paired-end BAM: ConvertToPE_BAM(S1_AnalysisDir=S1_AnalysisDir, SA_prefix=SA_prefix, S1_BAMStream=2000000,S1_image=TRUE, S1_genome="hg19",BAM_file_1=BAM_file_1, BAM_file_2=BAM_file_2) #test if the resulted BAM is paired-end: PairedBAM=file.path(S1_AnalysisDir,paste(SA_prefix,"_Paired_end.bam",sep="")) Rsamtools::testPairedEndBam(file = PairedBAM, index = PairedBAM) bamfile = Rsamtools::BamFile(file = PairedBAM,asMates = TRUE) GenomicAlignments::readGAlignmentPairs(file = bamfile,use.names = FALSE, with.which_label = FALSE, strandMode = 1) ## ----echo=TRUE,eval=TRUE--------------------------------------------------- #give directory of the BAM file: S2_PairedEndBAMpath=system.file('extdata', 'SampleChIAPETData.bam', package = 'MACPET') #give prefix name: SA_prefix="MACPET" #parallel backhead can be created using the BiocParallel package #parallel backhead can be created using the BiocParallel package #requireNamespace('BiocParallel') #snow <- BiocParallel::SnowParam(workers = 4, type = 'SOCK', progressbar=FALSE) #BiocParallel::register(snow, default=TRUE) #-run for the whole binding site analysis: MACPETUlt(SA_AnalysisDir=SA_AnalysisDir, SA_stages=c(2:3), SA_prefix=SA_prefix, S2_PairedEndBAMpath=S2_PairedEndBAMpath, S2_image=TRUE, S2_BlackList=TRUE, S3_image=TRUE) #load results: SelfObject=paste(SA_prefix,"_pselfData",sep="") load(file.path(SA_AnalysisDir,"S2_results",SelfObject)) SelfObject=get(SelfObject) class(SelfObject) # see methods for this class IntraObject=paste(SA_prefix,"_pintraData",sep="") load(file.path(SA_AnalysisDir,"S2_results",IntraObject)) IntraObject=get(IntraObject) class(IntraObject) # see methods for this class InterObject=paste(SA_prefix,"_pinterData",sep="") load(file.path(SA_AnalysisDir,"S2_results",InterObject)) InterObject=get(InterObject) class(InterObject) # see methods for this class SelfFitObject=paste(SA_prefix,"_psfitData",sep="") load(file.path(SA_AnalysisDir,"S3_results",SelfFitObject)) SelfFitObject=get(SelfFitObject) class(SelfFitObject) # see methods for this class #-----delete test directory: unlink(SA_AnalysisDir,recursive=TRUE)