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# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an 'AS IS' BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#' Get one page of variants from Google Genomics.
#'
#' In general, use the getVariants method instead. It calls this method,
#' returning variants from all of the pages that comprise the requested
#' genomic range.
#'
#' By default, this function gets variants from a small section of 1000
#' Genomes phase 1 variants.
#'
#' @param variantSetId The dataset ID.
#' @param chromosome The chromosome.
#' @param start Start position on the chromosome in 0-based coordinates.
#' @param end End position on the chromosome in 0-based coordinates.
#' @param fields A subset of fields to retrieve. The default (NULL) will
#' return all fields.
#' @param pageToken The page token. This can be NULL (default) for the first
#' page.
#' @return A two-element list is returned by the function.
#'
#' variants: A list of R objects corresponding to the JSON objects returned
#' by the Google Genomics Variants API.
#'
#' nextPageToken: The token to be used to retrieve the next page of
#' results, if applicable.
#' @family page fetch functions
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' variantsPage <- getVariantsPage()
#' summary(variantsPage)
#' summary(variantsPage$variants[[1]])
getVariantsPage <- function(variantSetId = "10473108253681171589",
chromosome = "22",
start = 16051400,
end = 16051500,
fields = NULL,
pageToken = NULL) {
body <-
list(
variantSetIds = list(variantSetId),
referenceName = chromosome,
start = start,
end = end,
pageToken = pageToken
)
results <- getSearchPage("variants", body, fields, pageToken)
list(variants = results$variants,
nextPageToken = results$nextPageToken)
}
streamVariants <- function(variantSetId, chromosome, start, end) {
if (missing(variantSetId) || missing(chromosome) ||
missing(start) || missing(end)) {
stop("All arguments need to be provided to streamVariants.")
}
body <- list(variantSetId = variantSetId, referenceName = chromosome,
start = start, end = end)
callGRPCMethod("StreamVariants", toJSON(body))
}
#' Get variants from Google Genomics.
#'
#' This function will return all of the variants that comprise the requested
#' genomic range, iterating over paginated results as necessary.
#'
#' By default, this function gets variants from a small section of 1000
#' Genomes phase 1 variants.
#'
#' Optionally pass a converter as appropriate for your use case. By passing it
#' to this method, only the converted objects will be accumulated in memory.
#' The converter function should return an empty container of the desired type
#' if called without any arguments.
#'
#' @param variantSetId The dataset ID.
#' @param chromosome The chromosome.
#' @param start Start position on the chromosome in 0-based coordinates.
#' @param end End position on the chromosome in 0-based coordinates.
#' @param fields A subset of fields to retrieve. The default (NULL) will
#' return all fields.
#' @param converter A function that takes a list of variant R objects and
#' returns them converted to the desired type.
#' @param useGRPC Whether to use GRPC mechanism to query.
#' @return By default, the return value is a list of R objects
#' corresponding to the JSON objects returned by the Google Genomics
#' Variants API. If a converter is passed, object(s) of the type
#' returned by the converter will be returned by this function.
#' @seealso \code{\link{getReads}} for equivalent function for reads, and
#' \code{\link{variantsToVRanges}} for a converter function.
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' variants <- getVariants()
#' summary(variants)
#' summary(variants[[1]])
getVariants <- function(variantSetId = "10473108253681171589",
chromosome = "22",
start = 16051400,
end = 16051500,
fields = NULL,
converter = c,
useGRPC = getOption("google_genomics_use_grpc")) {
if (isTRUE(useGRPC)) {
stopifnot(isGRPCAvailable())
result <- streamVariants(variantSetId, chromosome, start, end)
if (is.null(result)) {
stop("Something went wrong. Check printed messages above.")
}
return(converter(fromJSON(result)$variants))
}
pageToken <- NULL
variants <- converter()
repeat {
result <- getVariantsPage(
variantSetId = variantSetId,
chromosome = chromosome,
start = start,
end = end,
fields = fields,
pageToken = pageToken
)
pageToken <- result$nextPageToken
# TODO improve performance,
# see https://github.com/Bioconductor/GoogleGenomics/issues/17
variants <- c(variants, converter(result$variants))
if (is.null(pageToken) || pageToken == "") {
break
}
message(paste(
"Continuing variant query with the nextPageToken:",
pageToken
))
}
message("Variants are now available.")
variants
}
#' Convert variants to VRanges.
#'
#' Note that the Global Alliance for Genomics and Health API uses a 0-based
#' coordinate system. For more detail, please see GA4GH discussions such
#' as the following:
#' \itemize{
#' \item\url{https://github.com/ga4gh/schemas/issues/168}
#' \item\url{https://github.com/ga4gh/schemas/issues/121}
#'}
#'
#' @param variants A list of R objects corresponding to the JSON objects
#' returned by the Google Genomics Variants API.
#' @param oneBasedCoord Convert genomic positions to 1-based coordinates.
#' @param slStyle The style for seqnames (chrN or N or...). Default is UCSC.
#' @return \link[VariantAnnotation]{VRanges}
#' @family variants converter functions
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' variants1 <- getVariants(converter=variantsToVRanges)
#' summary(variants1)
#' variants2 <- variantsToVRanges(getVariants())
#' print(identical(variants1, variants2))
variantsToVRanges <-
function(variants,
oneBasedCoord = TRUE,
slStyle = "UCSC") {
if (missing(variants)) {
return(VRanges())
}
variantsToVRangesHelper <- function(v) {
if (TRUE == oneBasedCoord) {
position <- as.integer(v$start) + 1
} else {
position <- as.integer(v$start)
}
ranges <- VRanges(
seqnames = Rle(as.character(v$referenceName), 1),
ranges = IRanges(start = position,
end = as.integer(v$end)),
ref = as.character(v$referenceBases),
alt = as.character(v$alternateBases[1]),
# TODO flatten per alt
QUAL = as.numeric(v$quality),
FILTER = as.character(v$filter)
)
names(ranges) <- as.character(v$names[1])
ranges
}
vranges <- do.call("c", lapply(variants, variantsToVRangesHelper))
seqlevelsStyle(vranges) <- slStyle
vranges
}
#' Convert variants to GRanges.
#'
#' Note that the Global Alliance for Genomics and Health API uses a 0-based
#' coordinate system. For more detail, please see GA4GH discussions such
#' as the following:
#' \itemize{
#' \item\url{https://github.com/ga4gh/schemas/issues/168}
#' \item\url{https://github.com/ga4gh/schemas/issues/121}
#'}
#'
#' @param variants A list of R objects corresponding to the JSON objects
#' returned by the Google Genomics Variants API.
#' @param oneBasedCoord Convert genomic positions to 1-based coordinates.
#' @param slStyle The style for seqnames (chrN or N or...). Default is UCSC.
#' @return \link[GenomicRanges]{GRanges}
#' @family variants converter functions
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' variants1 <- getVariants(converter=variantsToGRanges)
#' summary(variants1)
#' variants2 <- variantsToGRanges(getVariants())
#' print(identical(variants1, variants2))
variantsToGRanges <- function(variants,
oneBasedCoord = TRUE,
slStyle = "UCSC") {
if (missing(variants)) {
return(GRanges())
}
variantsToGRangesHelper <- function(v) {
if (TRUE == oneBasedCoord) {
position <- as.integer(v$start) + 1
} else {
position <- as.integer(v$start)
}
ranges <- GRanges(
seqnames = Rle(as.character(v$referenceName), 1),
ranges = IRanges(start = position,
end = as.integer(v$end)),
REF = DNAStringSet(v$referenceBases),
ALT = DNAStringSetList(v$alternateBases),
QUAL = as.numeric(v$quality),
FILTER = as.character(v$filter)
)
names(ranges) <- as.character(v$names[1])
ranges
}
granges <-
do.call("c", lapply(variants, variantsToGRangesHelper))
seqlevelsStyle(granges) <- slStyle
granges
}
#' Elaborate the result of getVariants as a VRanges with all
#' calls for all samples
#'
#' @param variantSetId The dataset ID.
#' @param chromosome The chromosome.
#' @param start Start position on the chromosome in 0-based coordinates.
#' @param end End position on the chromosome in 0-based coordinates.
#' @param fields A subset of fields to retrieve. The default (NULL) will
#' return all fields.
#' @param converter A function that takes a list of variant R objects and
#' returns them converted to the desired type.
#' @param oneBasedCoord Convert returned addresses to 1-based address system
#' @param nullAction either \code{"stop"} or \code{"warn"} telling how to deal
#' with event in which request yields no variants; for
#' \code{"warn"} we return NULL
#' @return By default, the return value is a VRanges object.
#' If a converter is passed, object(s) of the type returned by the
#' converter will be returned by this function.
#' @examples
#' \dontrun{
#' getVariantCalls()
#' }
getVariantCalls <- function(variantSetId = "10473108253681171589",
chromosome = "22",
start = 16051400,
end = 16051500,
fields = NULL,
converter = c,
oneBasedCoord = TRUE,
nullAction = "stop") {
# This function is an elementary approach to obtaining
# all calls in a GoogleGenomics 'getVariants' call
#
# fields in a getVariants list element
# [1] "variantSetId" "id" "names" "created"
# [5] "referenceName" "start" "end" "referenceBases"
# [9] "alternateBases" "quality" "filter" "info"
# [13] "calls"
#
# subfields in the call field
# [1] "callSetId" "callSetName" "genotype"
# [4] "phaseset" "genotypeLikelihood" "info"
#
# call getVariants
ggv <- getVariants(
variantSetId = variantSetId,
chromosome = chromosome,
start = start,
end = end,
fields = fields,
converter = converter
)
# obtain start, end, chr, and base for each variant in requested range
sts <- as.numeric(sapply(ggv, function(x)
x$start))
if (length(sts) == 0) {
if (nullAction == "warn") {
warning("no variants in this interval")
return(NULL)
}
else
stop("no variants in this interval")
}
ens <- as.numeric(sapply(ggv, function(x)
x$end))
chrs <- sapply(ggv, function(x)
x$referenceName)
refs <- sapply(ggv, function(x)
x$referenceBases)
alts <- sapply(ggv, function(x)
x$alternateBases)
# variant names could be one per alt
vnames <- sapply(ggv, "[[", "names")
if (is.matrix(vnames)) {
allnames <- apply(vnames, 2, function(x)
paste(unique(x), collapse = ";"))
} else if (is.list(vnames)) {
allnames <- sapply(vnames, function(x) {
if (is.character(unlist(x)))
paste(unique(x), collapse = ";")
else
NA
})
}
# determine counts and values of variant calls in range (all samples)
clens <- sapply(ggv, function(x)
length(x$calls))
calls <- lapply(ggv, function(x)
x$calls)
# retrieve all sample identifiers for each variant
# and confirm that they are consistently ordered for all variants
# fail if they are not
sids <- lapply(calls, sapply, function(x)
x$callSetName) # sample names
if (length(sids) > 1) {
for (j in 2:length(sids))
stopifnot(all.equal(sids[[1]], sids[[j]]))
}
# begin a GRanges with structural and base information
if (oneBasedCoord) {
sts <- sts + 1
}
gr <- GRanges(chrs,
IRanges(sts, ens),
ref = refs,
# any multinucleotide alts collapsed
alt = sapply(alts, paste, collapse = ""))
# obtain all genotype calls, current assumption is "unphased" -- need more
# info from VCF content, might be in the JSON -- FIXME
gs <- unlist(lapply(calls, sapply, function(x)
paste(unlist(x$genotype),
collapse = "/")))
# obtain initial VRanges
gr <- as(rep(gr, each = clens[1]), "VRanges")
# bind sample names
sampleNames(gr) <- unlist(sids)
# add genotype field FIXME -- may not reflect actual content of GT field in
# VCF
gr$GT <- gs
# bind on variant names
names(gr) <- rep(allnames, each = clens[1])
gr
}
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