R/RatioFromFPKM.R

Defines functions RatioFromFPKM

Documented in RatioFromFPKM

RatioFromFPKM <- function(GTFdb=NULL,ASdb=NULL,Total.expdata=NULL,CalIndex=NULL,Ncor=1,out.dir=NULL){
    ES.in.sk.ratio <- NULL
    ASS.in.sk.ratio <- NULL
    IR.in.sk.ratio <- NULL
    calratio <- function(expdata=NULL,in.sk.mat){
        if (length(in.sk.mat) == 0) next
        if (in.sk.mat[1,ncol(in.sk.mat)] == "IR") colnames(in.sk.mat) <- c("Index","exon1","down","up","inclu","skip","Types")
        else    colnames(in.sk.mat) <- c("Index","exon1","exon2","exon1.nei","exon2.nei","inclu","skip","Types")
        final.ratio.mat <- NULL
        for (i in 1:nrow(in.sk.mat)){
            inclu.exp <- rbind(expdata[is.element(rownames(expdata),unlist(strsplit(in.sk.mat[i,"inclu"],"[|]"))),])
            skip.exp <- rbind(expdata[is.element(rownames(expdata),unlist(strsplit(in.sk.mat[i,"skip"],"[|]"))),])
            sum.inclu.exp <- apply(inclu.exp,2,function(x) sum(as.double(x)))
            sum.skip.exp <- apply(skip.exp,2,function(x) sum(as.double(x)))
            in.sk.ratio <- rbind(sum.skip.exp/(sum.inclu.exp+sum.skip.exp))
            in.sk.ratio <- rbind(c(in.sk.mat[i,],in.sk.ratio))
            final.ratio.mat <- rbind(final.ratio.mat,in.sk.ratio)
        }
        if (in.sk.mat[1,ncol(in.sk.mat)] == "IR") colnames(final.ratio.mat) <- c("Index","exons1","down","up","inclusion","skip","Types",colnames(expdata))
        else    colnames(final.ratio.mat) <- c("Index","exons1","exon2","exon1.nei","exon2.nei","inclusion","skip","Types",colnames(expdata))
        rownames(final.ratio.mat) <- 1:nrow(final.ratio.mat)
        return(final.ratio.mat)
    }
    estimateRatio <- function(expdata=NULL,tx.gene=NULL,exon.locus=NULL,test.value=NULL){
        ES.in.sk.ratio <- NULL
        ASS.in.sk.ratio <- NULL
        IR.in.sk.ratio <- NULL
        if(length(test.value[["ES"]]) != 0){
            ES.cluster.result <- rbind(test.value[["ES"]])
            fir.ES.result <- rbind(ES.cluster.result[ES.cluster.result[,"2ndEX"] == "NA",])
            ES.in.sk.mat <- lapply(1:length(fir.ES.result[,"1stEX"]),function(each.nums){
                index.num <- fir.ES.result[each.nums,"Index"]
                each.targets <- fir.ES.result[each.nums,"1stEX"]
                each.ES.result <- rbind(fir.ES.result[each.nums,])
                s.tar.ex <- unlist(strsplit(each.ES.result[,"1st_des"],","))
                s.do.ex <- unlist(strsplit(each.ES.result[,"Do_des"],","))
                s.up.ex <- unlist(strsplit(each.ES.result[,"Up_des"],","))
                test.Do.tx <- names(exon.locus[is.element(exon.locus,s.do.ex) | is.element(exon.locus,s.do.ex)])
                test.up.tx <- names(exon.locus[is.element(exon.locus,s.up.ex) | is.element(exon.locus,s.up.ex)])
                test.tx.ex <- exon.locus[is.element(names(exon.locus),intersect(test.Do.tx,test.up.tx))]
                inclused.tx <- unique(names(test.tx.ex)[is.element(test.tx.ex,s.tar.ex)])
                skipped.tx <-    unique(names(test.tx.ex)[!is.element(names(test.tx.ex),inclused.tx)])
                inclused.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),inclused.tx),"TXNAME"]
                skipped.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),skipped.tx),"TXNAME"]
                test.in.sk.mat <- cbind(Index=index.num,each.targets,"NA",each.ES.result[,"DownEX"],each.ES.result[,"UpEX"],
                                                                paste(inclused.tx,collapse="|"),paste(skipped.tx,collapse="|"),each.ES.result[,"Types"])
                test.in.sk.mat
            })
            ES.in.sk.mat <- do.call(rbind,ES.in.sk.mat)
            ES.in.sk.ratio <- rbind(calratio(expdata,ES.in.sk.mat))
            
            sec.ES.result <- rbind(ES.cluster.result[ES.cluster.result[,"2ndEX"] != "NA" & ES.cluster.result[,"Types"] == "ES",])
            if (length(sec.ES.result) != 0){
                sec.ES.in.sk.mat <- lapply(1:length(sec.ES.result[,"1stEX"]),function(each.nums){
                    index.num <- sec.ES.result[each.nums,"Index"]
                    each.targets <- sec.ES.result[each.nums,"1stEX"]
                    each.ES.result <- rbind(sec.ES.result[each.nums,])
                    s.fi.ex <- unlist(strsplit(each.ES.result[,"1st_des"],","))
                    s.se.ex <- unlist(strsplit(each.ES.result[,"2nd_des"],","))
                    s.do.ex <- unlist(strsplit(each.ES.result[,"Do_des"],","))
                    s.up.ex <- unlist(strsplit(each.ES.result[,"Up_des"],","))
                    test.Do.tx <- names(exon.locus[is.element(exon.locus,s.do.ex)])
                    test.up.tx <- names(exon.locus[is.element(exon.locus,s.up.ex)])
                    test.tx.ex <- exon.locus[is.element(names(exon.locus),intersect(test.Do.tx,test.up.tx))]
                    inclused.tx <- intersect(names(test.tx.ex)[is.element(test.tx.ex,s.fi.ex)],names(test.tx.ex)[is.element(test.tx.ex,s.se.ex)])
                    skipped.tx <-    unique(names(test.tx.ex)[!is.element(names(test.tx.ex),inclused.tx)])
                    inclused.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),inclused.tx),"TXNAME"]
                    skipped.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),skipped.tx),"TXNAME"]
                    test.in.sk.mat <- cbind(Index=index.num,each.targets,each.ES.result[,"2ndEX"],each.ES.result[,"DownEX"],each.ES.result[,"UpEX"],
                                                                    paste(inclused.tx,collapse="|"),paste(skipped.tx,collapse="|"),each.ES.result[,"Types"])
                    test.in.sk.mat
                })
                sec.ES.in.sk.mat <- do.call(rbind,sec.ES.in.sk.mat)
                ES.in.sk.ratio <- rbind(ES.in.sk.ratio,calratio(expdata,sec.ES.in.sk.mat))
            }
            
            MXE.ES.result <- rbind(ES.cluster.result[ES.cluster.result[,"2ndEX"] != "NA" & ES.cluster.result[,"Types"] == "MXE",])
            if (length(MXE.ES.result) != 0){
                MXE.ES.in.sk.mat <- lapply(1:length(MXE.ES.result[,"1stEX"]),function(each.nums){
                    index.num <- MXE.ES.result[each.nums,"Index"]
                    each.targets <- MXE.ES.result[each.nums,"1stEX"]
                    each.ES.result <- rbind(MXE.ES.result[each.nums,])
                    s.fi.ex <- unlist(strsplit(each.ES.result[,"1st_des"],","))
                    s.sec.ex <- unlist(strsplit(each.ES.result[,"2nd_des"],","))
                    s.do.ex <- unlist(strsplit(each.ES.result[,"Do_des"],","))
                    s.up.ex <- unlist(strsplit(each.ES.result[,"Up_des"],","))
                    test.Do.tx <- names(exon.locus[is.element(exon.locus,s.do.ex)])
                    test.up.tx <- names(exon.locus[is.element(exon.locus,s.up.ex)])
                    test.tx.ex <- exon.locus[is.element(names(exon.locus),intersect(test.Do.tx,test.up.tx))]
                    fi.tx <- unique(names(test.tx.ex)[is.element(test.tx.ex,s.fi.ex)])
                    se.tx <- unique(names(test.tx.ex)[is.element(test.tx.ex,s.sec.ex)])
                    inclused.tx <- fi.tx[!is.element(fi.tx,se.tx)]
                    skipped.tx <- se.tx[!is.element(se.tx,fi.tx)]
                    inclused.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),inclused.tx),"TXNAME"]
                    skipped.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),skipped.tx),"TXNAME"]
                    test.in.sk.mat <- cbind(Index=index.num,each.targets,rbind(each.ES.result[,c("2ndEX","DownEX","UpEX")]),
                                                                    paste(inclused.tx,collapse="|"),paste(skipped.tx,collapse="|"),each.ES.result[,"Types"])
                    test.in.sk.mat
                })
                MXE.ES.in.sk.mat <- do.call(rbind,MXE.ES.in.sk.mat)
                MXE.ES.in.sk.mat <- rbind(MXE.ES.in.sk.mat[MXE.ES.in.sk.mat[,5] != "" & MXE.ES.in.sk.mat[,6] != "",])
                if (length(MXE.ES.in.sk.mat) != 0){
                    ES.in.sk.ratio <- rbind(ES.in.sk.ratio,calratio(expdata,MXE.ES.in.sk.mat))
                }
            }
            ES.in.sk.ratio <- cbind(ES.in.sk.ratio[,"Index"],unique(tx.gene[,"GENEID"]),unique(tx.gene[,"TXCHROM"]),unique(tx.gene[,"TXSTRAND"]),rbind(ES.in.sk.ratio[,!is.element(colnames(ES.in.sk.ratio),c("Index"))]))
            colnames(ES.in.sk.ratio) <- c("Index","EnsID","Nchr","Strand","1stEX","2ndEX","DownEX","UpEX","Inclusion_TX","Skip_TX","Types",colnames(ES.in.sk.ratio)[-c(1:which(colnames(ES.in.sk.ratio) == "Types"))])
            ES.in.sk.ratio <- rbind(ES.in.sk.ratio[ES.in.sk.ratio[,"Inclusion_TX"] != "" & ES.in.sk.ratio[,"Skip_TX"] != "",])
            rownames(ES.in.sk.ratio) <- 1:nrow(ES.in.sk.ratio)
        }
        
        
        if(length(test.value[["ASS"]]) != 0){
            ASS.cluster.result <- rbind(test.value[["ASS"]])
            len.nei <- grep("NeighborEX",colnames(ASS.cluster.result))
            ASS.in.sk.mat <- lapply(1:length(ASS.cluster.result[,"ShortEX"]),function(each.nums){
                index.num <- ASS.cluster.result[each.nums,"Index"]
                each.targets <- ASS.cluster.result[each.nums,"ShortEX"]
                each.ASS.result <- rbind(ASS.cluster.result[each.nums,])
                s.short.ex <- unlist(strsplit(each.ASS.result[,"Short_des"],","))
                s.long.ex <- unlist(strsplit(each.ASS.result[,"Long_des"],","))
                if (length(len.nei) == 1){
                    nei.ex <- unlist(strsplit(each.ASS.result[,"Neighbor_des"],","))
                    test.tx <- names(exon.locus[is.element(exon.locus,s.short.ex) | is.element(exon.locus,s.long.ex) | is.element(exon.locus,nei.ex)])
                    test.tx.ex <- exon.locus[is.element(names(exon.locus),test.tx)]
                    shortex <- unique(names(test.tx.ex)[is.element(test.tx.ex,s.short.ex)])
                    longex <- unique(names(test.tx.ex)[is.element(test.tx.ex,s.long.ex)])
                    inclused.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),longex),"TXNAME"]
                    skipped.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),shortex),"TXNAME"]
                    test.in.sk.mat <- cbind(Index=index.num,each.targets,each.ASS.result[,"LongEX"],ShortNeighborEX=each.ASS.result[,"NeighborEX"],LongNeighborEX="NA",
                                                                    paste(skipped.tx,collapse="|"),paste(inclused.tx,collapse="|"),each.ASS.result[,"Types"])
                }
                else if (length(len.nei) == 2){
                    short.nei.ex <- unlist(strsplit(each.ASS.result[,"ShortNeighbor_des"],","))
                    long.nei.ex <- unlist(strsplit(each.ASS.result[,"LongNeighbor_des"],","))
                    test.tx <- c(intersect(names(exon.locus[(is.element(exon.locus,s.short.ex))]),names(exon.locus[(is.element(exon.locus,short.nei.ex))])),
                                             intersect(names(exon.locus[(is.element(exon.locus,s.long.ex))]),names(exon.locus[(is.element(exon.locus,long.nei.ex))])))
                    test.tx.ex <- exon.locus[is.element(names(exon.locus),test.tx)]
                    shortex <- unique(intersect(names(test.tx.ex)[is.element(test.tx.ex,s.short.ex)],names(test.tx.ex)[is.element(test.tx.ex,short.nei.ex)]))
                    longex <- unique(intersect(names(test.tx.ex)[is.element(test.tx.ex,s.long.ex)],names(test.tx.ex)[is.element(test.tx.ex,long.nei.ex)]))
                    inclused.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),longex),"TXNAME"]
                    skipped.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),shortex),"TXNAME"]
                    test.in.sk.mat <- cbind(Index=index.num,each.targets,each.ASS.result[,"LongEX"],each.ASS.result[,"ShortNeighborEX"],each.ASS.result[,"LongNeighborEX"],
                                                                    paste(skipped.tx,collapse="|"),paste(inclused.tx,collapse="|"),each.ASS.result[,"Types"])
                }
                test.in.sk.mat
            })
            ASS.in.sk.mat <- do.call(rbind,ASS.in.sk.mat)
            ASS.in.sk.ratio <- rbind(calratio(expdata,ASS.in.sk.mat))
            ASS.in.sk.ratio <- cbind(ASS.in.sk.ratio[,"Index"],unique(tx.gene[,"GENEID"]),unique(tx.gene[,"TXCHROM"]),unique(tx.gene[,"TXSTRAND"]),rbind(ASS.in.sk.ratio[,!is.element(colnames(ASS.in.sk.ratio),c("Index"))]))
            rownames(ASS.in.sk.ratio) <- 1:nrow(rbind(ASS.in.sk.ratio))
            colnames(ASS.in.sk.ratio) <- c("Index","EnsID","Nchr","Strand","ShortEX","LongEX","ShortNeighborEX","LongNeighborEX","Short_TX","Long_TX","Types",
                                                                         colnames(ASS.in.sk.ratio)[-c(1:which(colnames(ASS.in.sk.ratio) == "Types"))])
            if (length(len.nei) == 1){
                ASS.in.sk.ratio <- rbind(ASS.in.sk.ratio[,colnames(ASS.in.sk.ratio) != "LongNeighborEX"])
                colnames(ASS.in.sk.ratio)[which(colnames(ASS.in.sk.ratio) == "ShortNeighborEX")] <- "NeighborEX"
            }
            ASS.in.sk.ratio <- rbind(ASS.in.sk.ratio[ASS.in.sk.ratio[,"Short_TX"] != "" & ASS.in.sk.ratio[,"Long_TX"] != "",])
            rownames(ASS.in.sk.ratio) <- 1:nrow(ASS.in.sk.ratio)
        }
        
        if(length(test.value[["IR"]]) != 0){
            IR.cluster.result <- rbind(test.value[["IR"]])
            IR.in.sk.mat <- lapply(1:length(IR.cluster.result[,"RetainEX"]),function(each.nums){
                index.num <- IR.cluster.result[each.nums,"Index"]
                each.targets <- IR.cluster.result[each.nums,"RetainEX"]
                each.IR.result <- rbind(IR.cluster.result[each.nums,])
                s.fi.ex <- unlist(strsplit(each.IR.result[,"Retain_des"],","))
                s.do.ex <- unlist(strsplit(each.IR.result[,"Do_des"],","))
                s.up.ex <- unlist(strsplit(each.IR.result[,"Up_des"],","))
                test.Do.tx <- names(exon.locus[is.element(exon.locus,s.do.ex)])
                test.up.tx <- names(exon.locus[is.element(exon.locus,s.up.ex)])
                test.re.tx <- names(exon.locus[is.element(exon.locus,s.fi.ex)])
                test.tx.ex <- exon.locus[is.element(names(exon.locus),c(intersect(test.Do.tx,test.up.tx),test.re.tx))]
                fi.tx <- unique(names(test.tx.ex)[is.element(test.tx.ex,s.do.ex)])
                se.tx <- unique(names(test.tx.ex)[is.element(test.tx.ex,s.up.ex)])
                re.tx <- unique(names(test.tx.ex)[is.element(test.tx.ex,s.fi.ex)])
                inclused.tx <- unique(intersect(fi.tx,se.tx))
                skipped.tx <- re.tx
                inclused.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),inclused.tx),"TXNAME"]
                skipped.tx <- tx.gene[is.element(as.matrix(tx.gene["TXID"]),skipped.tx),"TXNAME"]
                test.in.sk.mat <- cbind(Index=index.num,each.targets,each.IR.result[,"DownEX"],each.IR.result[,"UpEX"],paste(inclused.tx,collapse="|"),paste(skipped.tx,collapse="|"),"IR")
                test.in.sk.mat
            })
            IR.in.sk.mat <- do.call(rbind,IR.in.sk.mat)
            IR.in.sk.ratio <- rbind(calratio(expdata,IR.in.sk.mat))
            IR.in.sk.ratio <- cbind(IR.in.sk.ratio[,"Index"],unique(tx.gene[,"GENEID"]),unique(tx.gene[,"TXCHROM"]),unique(tx.gene[,"TXSTRAND"]),rbind(IR.in.sk.ratio[,!is.element(colnames(IR.in.sk.ratio),c("Index"))]))
            colnames(IR.in.sk.ratio) <- c("Index","EnsID","Nchr","Strand","RetainEX","DownEX","UpEX","Normal_TX","IR_TX","Types",colnames(IR.in.sk.ratio)[-c(1:which(colnames(IR.in.sk.ratio) == "Types"))])
            IR.in.sk.ratio <- rbind(IR.in.sk.ratio[IR.in.sk.ratio[,"Normal_TX"] != "" & IR.in.sk.ratio[,"IR_TX"] != "",])
            rownames(IR.in.sk.ratio) <- 1:nrow(IR.in.sk.ratio)
        }
        final.result.mat <- list(ES.in.sk.ratio,ASS.in.sk.ratio,IR.in.sk.ratio)
        names(final.result.mat) <- c("ES","ASS","IR")
        return (final.result.mat)
    }
    mul.te <- function(j,each.type.result,sub.txTable,sub.expdata,sub.exon.range,sub.intron.range,estimateRatio,Ea.Alt,u.genes){
        each.ES <- rbind(each.type.result[each.type.result[,"EnsID"] == u.genes[j],])
        each.tx.info <- sub.txTable[sub.txTable[,"GENEID"] == unique(each.ES[,"EnsID"]),]
        Exon.info <- findAlternative(unique(each.ES[,"EnsID"]),sub.txTable,sub.exon.range,sub.intron.range,unique(each.ES[,"Nchr"]))$exonRange
        exon.start <- unlist(start(Exon.info))
        exon.end <- unlist(end(Exon.info))
        exon.mat <- cbind(exon.start,exon.end)
        each.exon.locus <- paste(exon.start,exon.end,sep="-")
        names(each.exon.locus) <- names(exon.end)
        expdata <- sub.expdata[intersect(rownames(sub.expdata),each.tx.info[,"TXNAME"]),]
        each.ES <- list(each.ES)
        names(each.ES) <- Ea.Alt
        if (length(expdata) != 0){
            each.ratio <- estimateRatio(expdata,each.tx.info,each.exon.locus,each.ES)[[Ea.Alt]]
            each.ratio
        }
        else    NULL
    }
    Total.expdata <- as.matrix(Total.expdata)
    pre.ES.alt <- ASdb@"SplicingModel"[["ES"]]
    pre.ASS.alt <- ASdb@"SplicingModel"[["ASS"]]
    pre.IR.alt <- ASdb@"SplicingModel"[["IR"]]
    MP <- SnowParam(workers=Ncor,type="SOCK")
    tested.geneid <- unique(c(pre.ES.alt[,is.element(colnames(pre.ES.alt),"EnsID")],pre.ASS.alt[,is.element(colnames(pre.ASS.alt),"EnsID")],pre.IR.alt[,is.element(colnames(pre.IR.alt),"EnsID")]))
    total.chr <- unique(c(pre.ES.alt[,is.element(colnames(pre.ES.alt),"Nchr")],pre.ASS.alt[,is.element(colnames(pre.ASS.alt),"Nchr")],pre.IR.alt[,is.element(colnames(pre.IR.alt),"Nchr")]))
    total.chr <- total.chr[order(as.integer(gsub("chr","",total.chr)))]
    GTFdb <- chrseparate(GTFdb,total.chr)
    total.exon.range <- exonsBy(GTFdb,by="tx")
    total.intron.range <- intronsByTranscript(GTFdb)
    txTable <- select(GTFdb, keys=names(total.exon.range), columns=c("TXCHROM","TXNAME","GENEID","TXSTART","TXEND","TXSTRAND"), keytype="TXID")
    
    sub.txTable <- rbind(txTable[is.element(txTable[,"GENEID"],tested.geneid),])
    sub.expdata <- Total.expdata[is.element(rownames(Total.expdata),sub.txTable[,"TXNAME"]),]
    sub.exon.range <- total.exon.range[is.element(names(total.exon.range),as.matrix(sub.txTable[,"TXID"])),]
    sub.intron.range <- total.intron.range[is.element(names(total.intron.range),as.matrix(sub.txTable[,"TXID"])),]
    sampleid <- colnames(sub.expdata)
    called.packages <- c("GenomicRanges","GenomicFeatures")
    AltType <- c("ES","ASS","IR")
    
    final.total.ratio <- list(matrix("NA"),matrix("NA"),matrix("NA"))
    names(final.total.ratio) <- c("ES","ASS","IR")
    j=NULL
    for (i in 1:length(AltType)){
        each.type.result <- slot(ASdb,"SplicingModel")[[AltType[i]]]
        if (length(each.type.result) != 0 & each.type.result[1,1] != "NA" & length(CalIndex) != 0)    each.type.result <- rbind(each.type.result[is.element(each.type.result[,"Index"],CalIndex),])
        if (length(each.type.result) != 0){
            u.genes <- unique(each.type.result[,"EnsID"])
            each.ratio <- NULL
            pa.result <- bplapply(seq_len(length(u.genes)),mul.te,BPPARAM=MP,
                each.type.result=each.type.result,sub.txTable=sub.txTable,
                sub.expdata=sub.expdata,sub.exon.range=sub.exon.range,
                sub.intron.range=sub.intron.range,estimateRatio=estimateRatio,
                Ea.Alt=AltType[i],u.genes=u.genes)
            if (length(pa.result) != 0){
                pa.result <- do.call(rbind,pa.result)
                rownames(pa.result) <- c(1:nrow(pa.result))
                final.total.ratio[[i]] <- pa.result
            }
            else final.total.ratio[[i]] <- as.matrix("NA")
        }
        else if (length(each.type.result) == 0){
            final.total.ratio[[i]] <- as.matrix("NA")
        }
    }
    ASdb <- new("ASdb",SplicingModel=ASdb@"SplicingModel",Ratio=final.total.ratio,GroupDiff=ASdb@"GroupDiff",sQTLs=ASdb@"sQTLs",Me.sQTLs=ASdb@"Me.sQTLs",Clinical=ASdb@"Clinical")
    if (length(out.dir) != 0){
        system(paste("mkdir -p ",out.dir,"/AS_Ratio",sep=""))
        write.table(final.total.ratio[["ES"]],paste(out.dir,"/AS_Ratio/ES_Ratio.txt",sep=""),sep='\t',quote=FALSE)
        write.table(final.total.ratio[["ASS"]],paste(out.dir,"/AS_Ratio/ASS_Ratio.txt",sep=""),sep='\t',quote=FALSE)
        write.table(final.total.ratio[["IR"]],paste(out.dir,"/AS_Ratio/IR_Ratio.txt",sep=""),sep='\t',quote=FALSE)
    }
    return(ASdb)
}

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IVAS documentation built on May 2, 2018, 4:47 a.m.