R/misc.R

Defines functions unknottedGroups is_pseudoknotted basepairFrequency logceiling logfloor logseq isOverlappingHelix isDuplicatingHelix isConflictingHelix expandNumberedHelix expandHelix collapseHelix is.helix as.helix

Documented in as.helix basepairFrequency collapseHelix expandHelix isConflictingHelix isDuplicatingHelix is.helix isOverlappingHelix logceiling logfloor logseq unknottedGroups

## Copyright (C) 2011 Daniel Lai and Irmtraud M. Meyer (www.e-rna.org)
## Contact information: [email protected]

## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.

## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
## GNU General Public License for more details.

## You should have received a copy of the GNU General Public License
## along with this program.  If not, see <http://www.gnu.org/licenses/>.

as.helix <- function(x, length = NULL) {
    x <- as.data.frame(x)
    if (nrow(x) == 0) {
        x <- data.frame(i = vector(), j = vector(), length = vector(),
            value = vector())
    }

    if(ncol(x) < 4) {
        stop("Expecting data.frame-like structure with at least 4 columns")
    }
    names <- colnames(x)
    names[1:4] <- c("i", "j", "length", "value")
    colnames(x) <- names
    rownames(x) <- NULL
    x$i <- as.integer(x$i)
    x$j <- as.integer(x$j)
    x$length <- as.integer(x$length)
    x$value <- as.numeric(x$value)

    if (is.null(length)) {
        length <- max(x$i, x$j)
    }

    attr(x, "length") <- length
    return(x)
}

is.helix <- function(x) {
    valid <- TRUE
    if (!is.data.frame(x)) {
        warning("Not a valid data frame")
        valid <- FALSE
    }
    if (ncol(x) < 4) {
        warning("Should have at least 4 columns")
        valid <- FALSE
    }
    if (is.null(attr(x, "length"))) {
        warning("No length attribute")
        valid <- FALSE
    }
    if (!all(lapply(x, class)[1:4] == c("integer", "integer", "integer",
            "numeric"))) {
        warning("Columns of invalid class")
        valid <- FALSE
    }
    if(!all(colnames(x)[1:4] == c("i", "j", "length", "value"))) {
        warning("Invalid column names")
        valid <- FALSE
    }
    return(valid)
}

collapseHelix <- function(helix, number = FALSE) {
    if(!is.helix(helix)) {
        stop("Input is not a valid helix, aborting")
    } else {
        if (nrow(helix) == 0) {
            return(helix)
        }
        helix <- expandHelix(helix)
        helix <- helix[!duplicated(helix), ]
    }
    length <- attr(helix, "length")

    tmp <- NA
    if (any(is.na(helix$value))) {
        tmp <- max(helix$value, na.rm = TRUE) + 1
        helix$value[is.na(helix$value)] <- tmp
    }

    sums <- rowSums(helix[, 1:2])
    if (number) {
        order <- order(helix$number, sums, helix$i)
    } else {
        order <- order(helix$value, sums, helix$i)
    }
    helix <- helix[order, ]
    sums <- sums[order]

    vend <- rep(FALSE, nrow(helix))
    vsta <- rep(FALSE, nrow(helix))

    # Change in number/value indicates helix end
    if (number) {
        ends <- findInterval(unique(helix$number), helix$number)
        vend[ends] <- TRUE
        vsta[c(0, ends[-length(ends)]) + 1] <- TRUE
    } else {
        ends <- findInterval(unique(helix$value), helix$value)
        vend[ends] <- TRUE
        vsta[c(0, ends[-length(ends)]) + 1] <- TRUE
    }

    # Change in basepair sum indicates helix end
    ends <- cumsum(rle(sums)$lengths)
    vend[ends] <- TRUE
    vsta[c(0, ends[-length(ends)]) + 1] <- TRUE

    # Basepair position difference != 1 indicates helix end
    ends <- which(c(diff(helix$i), 0) != 1)
    vend[ends] <- TRUE
    vsta[c(0, ends[-length(ends)]) + 1] <- TRUE

    starts <- which(vsta)
    ends <- which(vend)
    counts <- which(vend) - which(vsta) + 1
    ungap <- (helix$i[vsta] == helix$i[vend] - counts + 1) &
        (helix$j[vsta] == helix$j[vend] + counts - 1)

    if (length(which(ungap == FALSE)) > 0) {
        stop("This error should never occur... inform developer if it does")
    }

    output <- helix[vsta, ]
    output$length <- counts
    
    if (!is.na(tmp)) {
        output$value[which(output$value == tmp)] <- NA
    }
    
    return(as.helix(output, length))
}

expandHelix <- function(helix) {
    if(!is.helix(helix)) {
        stop("Input is not a valid helix, aborting")
    } else {
        if (nrow(helix) == 0 || all(helix$length == 1)) {
            return(helix)
        }
    }
    length <- attr(helix, "length")
    
    output <- as.data.frame(matrix(NA, sum(helix$length), ncol(helix)))

    # Compute i
    diff <- rep(1, sum(helix$length))
    end_index <- cumsum(helix$length)
    start_index <- c(0, end_index[-length(end_index)]) + 1

    # Compute j
    end_pos <- helix$i + helix$length - 1
    diff[start_index] <- helix$i - c(0, end_pos[-length(end_pos)])
    output[, 1] <- cumsum(diff)
    

    diff <- rep(-1, sum(helix$length))
    end_pos <- helix$j - helix$length + 1
    diff[start_index] <- helix$j - c(0, end_pos[-length(end_pos)])
    output[, 2] <- cumsum(diff)

    output[, 3] <- 1
    
    for (i in 4:ncol(helix)) {
        output[, i] <- rep(helix[, i], helix$length)
    }

    colnames(output) <- colnames(helix)
    return(as.helix(output, length))
}

expandNumberedHelix <- function(helix) {
    number <- rep(1:nrow(helix), helix$length)
    helix <- expandHelix(helix)
    helix$number <- number
    return(helix)    
}

isConflictingHelix <- function(helix) {
    if (!is.helix(helix)) {
        stop("Not a valid helix data frame, aborting...")
    }
    if (nrow(helix) == 0) {
        return (vector())
    }
    if (nrow(helix) == 1) {
        return(c(FALSE))
    }
    
    helix <- expandNumberedHelix(helix)
    end <- nrow(helix)
    helix$bad <- 1
    for (i in 1:(end - 1)) {
        if (helix$bad[i] == 1) {
            kill <- which(helix$i[(i + 1):end] == helix$i[i] |
                helix$j[(i + 1):end] == helix$j[i] |
                helix$j[(i + 1):end] == helix$i[i] |
                helix$i[(i + 1):end] == helix$j[i])
            helix$bad[kill + i] <- 0
        }
    }
    return(aggregate(1 - helix$bad, by = list(helix$number), mean)$x)
}

isDuplicatingHelix <- function(helix) {
    if (!is.helix(helix)) {
        stop("Invalid helix data frame, aborting")
    }

    if(nrow(helix) == 0) {
        return (vector())
    }

    expand <- expandNumberedHelix(helix)
    flip <- which(expand$i > expand$j)
    tmp <- expand$i[flip]
    expand$i[flip] <- expand$j[flip]
    expand$j[flip] <- tmp
    expand$duplicate <- duplicated(expand[, c("i", "j")])
    return(aggregate(expand$duplicate, by = list(expand$number), mean)$x)
}

isOverlappingHelix <- function(helix, query) {
    if(!is.helix(helix) | !is.helix(query)) {
        stop("One of the inputs was not a valid helix data frame, aborting")
    }

    if (nrow(helix) == 0) {
        return (vector());
    }
    if (nrow(query) == 0) {
        return (rep(0, helix))
    }

    helix <- expandNumberedHelix(as.helix(helix[, 1:4]))
    y <- expandHelix(query)[, 1:4]
    y$length <- NULL
    y$value <- NULL
    y$hit <- 1
    helix <- merge(helix, y, all.x = TRUE)
    helix$hit[is.na(helix$hit)] <- 0
    return(aggregate(helix$hit, by = list(helix$number), mean)$x)
}

logseq <- function(from, to, length.out) {
    if (missing(length.out)) {
        length.out <- log10(max(from, to) / min(from, to)) + 1
    }
    return(exp(seq(log(from), log(to), length.out = length.out)))
}

logfloor <- function(x) {
    return(10 ** floor(log10(x)))
}

logceiling <- function(x) {
    return(10 ** ceiling(log10(x)))
}

basepairFrequency <- function(helix) {
    if (!is.helix(helix)) {
        stop("Not a valid helix data frame, aborting")
    }
    if (nrow(helix) == 0) {
        return(helix)
    } else {
        basepairs <- expandHelix(helix)[, c("i", "j")]
    }
    counts <- table(paste(basepairs$i, basepairs$j))
    pos <- as.integer(unlist(strsplit(names(counts), " ")))
    odds <- seq(1, length(pos), by = 2)
    output <- data.frame(i = pos[odds], j = pos[odds + 1], length = 1,
        value = as.integer(counts))
    output <- output[order(-output$value, output$i, output$j), ]
    return(as.helix(output, attr(helix, "length")))
}

# Returns a logical row each row of the matrix, TRUE of pseudoknotted, else
# false. Assumes these are  helices of LENGTH 1
is_pseudoknotted <- function(row, matrix) {
    return((row$i <= matrix$i & matrix$i <= row$j & row$j <= matrix$j) |
    (matrix$i <= row$i & row$i <= matrix$j & matrix$j <= row$j))
}

# Adds a group column, in which helices of each numbered group are
# non-pseudoknotted
unknottedGroups <- function(helix) {
    if (!is.helix(helix)) {
        stop("Invalid input")
    }
    if (any(helix$length > 1)) {
        warning("Expanding helix to basepairs")
        helix <- expandHelix(helix)
    }
    if (nrow(helix) == 0) {
        stop("No basepairs in helix")
    }
    group <- rep(0, nrow(helix));
     group[1] <- 1
    if (nrow(helix) == 1) {
        return(group)
    }
    for (i in 2:nrow(helix)) {
        test <- 1
        while (any(is_pseudoknotted(helix[i, ], helix[which(group == test), ]))) {
            test <- test + 1
        }
        group[i] <- test
    }
    return(group)
}

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R4RNA documentation built on May 2, 2018, 2:03 a.m.