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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 reads from Google Genomics.
#'
#' In general, use the getReads method instead. It calls this method,
#' returning reads from all of the pages that comprise the requested
#' genomic range.
#'
#' By default, this function gets reads for a small genomic region for one
#' sample in 1,000 Genomes.
#'
#' 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 readGroupSetId The read group set 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.
#'
#' reads: A list of R objects corresponding to the JSON objects returned
#' by the Google Genomics Reads 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.
#' readsPage <- getReadsPage()
#' summary(readsPage)
#' summary(readsPage$reads[[1]])
getReadsPage <- function(readGroupSetId="CMvnhpKTFhDnk4_9zcKO3_YB",
chromosome="22",
start=16051400,
end=16051500,
fields=NULL,
pageToken=NULL) {
body <- list(readGroupSetIds=list(readGroupSetId), referenceName=chromosome,
start=start, end=end, pageToken=pageToken)
results <- getSearchPage("reads", body, fields, pageToken)
list(reads=results$alignments, nextPageToken=results$nextPageToken)
}
streamReads <- function(readGroupSetId, chromosome, start, end) {
if (missing(readGroupSetId) || missing(chromosome) ||
missing(start) || missing(end)) {
stop("All arguments need to be provided to streamReads.")
}
body <- list(readGroupSetId = readGroupSetId, referenceName = chromosome,
start = start, end = end)
callGRPCMethod("StreamReads", toJSON(body))
}
#' Get reads from Google Genomics.
#'
#' This function will return all of the reads that comprise the requested
#' genomic range, iterating over paginated results as necessary.
#'
#' By default, this function gets reads for a small genomic region for one
#' sample in 1,000 Genomes.
#'
#' 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 readGroupSetId The read group set 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 read 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
#' Reads API. If a converter is passed, object(s) of the type
#' returned by the converter will be returned by this function.
#' @seealso \code{\link{getVariants}}
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' reads <- getReads()
#' summary(reads)
#' summary(reads[[1]])
getReads <- function(readGroupSetId="CMvnhpKTFhDnk4_9zcKO3_YB",
chromosome="22",
start=16051400,
end=16051500,
fields=NULL,
converter=c,
useGRPC = getOption("google_genomics_use_grpc")) {
if (isTRUE(useGRPC)) {
stopifnot(isGRPCAvailable())
result <- streamReads(readGroupSetId, chromosome, start, end)
if (is.null(result)) {
stop("Something went wrong. Check printed messages above.")
}
return(converter(fromJSON(result)$alignments))
}
pageToken <- NULL
reads <- converter()
repeat {
result <- getReadsPage(readGroupSetId=readGroupSetId,
chromosome=chromosome,
start=start,
end=end,
fields=fields,
pageToken=pageToken)
pageToken <- result$nextPageToken
# TODO improve performance,
# see https://github.com/Bioconductor/GoogleGenomics/issues/17
reads <- c(reads, converter(result$reads))
if (is.null(pageToken) || pageToken == "") {
break
}
message(paste("Continuing read query with the nextPageToken:", pageToken))
}
message("Reads are now available.")
reads
}
# Transformation helpers
cigar_enum_map <- list(
ALIGNMENT_MATCH="M",
CLIP_HARD="H",
CLIP_SOFT="S",
DELETE="D",
INSERT="I",
PAD="P",
SEQUENCE_MATCH="=",
SEQUENCE_MISMATCH="X",
SKIP="N")
getCigar <- function(read) {
paste(
sapply(
read$alignment$cigar,
function(cigarPiece) {
paste0(cigarPiece$operationLength,
cigar_enum_map[cigarPiece$operation])
}),
collapse="")
}
getPosition <- function(read) {
as.integer(read$alignment$position$position)
}
getReferenceName <- function(read) {
read$alignment$position$referenceName
}
getFlags <- function(read) {
flags <- 0
if (isTRUE(read$numberReads == 2)) {
flags <- flags + 1 # read_paired
}
if (isTRUE(read$properPlacement)) {
flags <- flags + 2 # read_proper_pair
}
if (is.null(getPosition(read))) {
flags <- flags + 4 # read_unmapped
}
if (is.null(read$nextMatePosition$position)) {
flags <- flags + 8 # mate_unmapped
}
if (isTRUE(read$alignment$position$reverseStrand)) {
flags <- flags + 16 # read_reverse_strand
}
if (isTRUE(read$nextMatePosition$reverseStrand)) {
flags <- flags + 32 # mate_reverse_strand
}
if (isTRUE(read$readNumber == 0)) {
flags <- flags + 64 # first_in_pair
}
if (isTRUE(read$readNumber == 1)) {
flags <- flags + 128 # second_in_pair
}
if (isTRUE(read$secondaryAlignment)) {
flags <- flags + 256 # secondary_alignment
}
if (isTRUE(read$failedVendorQualityChecks)) {
flags <- flags + 512 # failed_quality_check
}
if (isTRUE(read$duplicateFragment)) {
flags <- flags + 1024 # duplicate_read
}
if (isTRUE(read$supplementaryAlignment)) {
flags <- flags + 2048 # supplementary_alignment
}
flags
}
#' Convert reads to GAlignments.
#'
#' 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 reads A list of R objects corresponding to the JSON objects
#' returned by the Google Genomics Reads 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[GenomicAlignments]{GAlignments}
#' @family reads converter functions
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' alignments1 <- getReads(converter=readsToGAlignments)
#' summary(alignments1)
#' alignments2 <- readsToGAlignments(getReads())
#' print(identical(alignments1, alignments2))
readsToGAlignments <- function(reads, oneBasedCoord=TRUE, slStyle="UCSC") {
if (missing(reads)) {
return(GAlignments())
}
# Transform the Genomics API data into a GAlignments object
names <- sapply(reads, "[[", "fragmentName")
cigars <- sapply(reads, getCigar)
positions <- sapply(reads, getPosition)
if (oneBasedCoord) {
positions <- as.integer(positions + 1)
}
flags <- sapply(reads, getFlags)
chromosomes <- sapply(reads, getReferenceName)
isMinusStrand <- bamFlagAsBitMatrix(as.integer(flags),
bitnames="isMinusStrand")
alignments <- GAlignments(
seqnames=Rle(chromosomes),
strand=strand(as.vector(ifelse(isMinusStrand, "-", "+"))),
pos=positions, cigar=cigars, names=names, flag=flags)
seqlevelsStyle(alignments) <- slStyle
alignments
}
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