1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207
|
### =========================================================================
### predictCoding methods
### =========================================================================
setMethod("predictCoding", c("IntegerRanges", "TxDb", "ANY", "DNAStringSet"),
function(query, subject, seqSource, varAllele, ..., ignore.strand=FALSE)
{
callGeneric(as(query, "GRanges"), subject, seqSource, varAllele, ...,
ignore.strand=ignore.strand)
})
setMethod("predictCoding", c("CollapsedVCF", "TxDb", "ANY", "missing"),
function(query, subject, seqSource, varAllele, ..., ignore.strand=FALSE)
{
rd <- rowRanges(query)
alt <- alt(query)
if (is(alt, "CharacterList")) {
alt <- .toDNAStringSetList(alt)
if (sum(elementNROWS(alt)) == 0L) {
stop("No nucleotide ALT values were detected.")
}
}
rd <- rep(rowRanges(query), elementNROWS(alt))
res <- callGeneric(rd, subject, seqSource, unlist(alt, use.names=FALSE),
..., ignore.strand=ignore.strand)
## adjust QUERYID for expansion of rowRanges
res$QUERYID <- rep(seq_len(length(alt)),
elementNROWS(alt))[res$QUERYID]
res
})
setMethod("predictCoding", c("ExpandedVCF", "TxDb", "ANY", "missing"),
function(query, subject, seqSource, varAllele, ..., ignore.strand=FALSE)
{
if (is(alt(query), "CharacterList")) {
stop("alt(query) must be a DNAStringSet (not a CharacterList)")
}
callGeneric(rowRanges(query), subject, seqSource, alt(query), ...,
ignore.strand=ignore.strand)
})
setMethod("predictCoding", c("GRanges", "TxDb", "ANY", "DNAStringSet"),
function(query, subject, seqSource, varAllele, ..., ignore.strand=FALSE)
{
.predictCoding(query, subject, seqSource, varAllele, ...,
ignore.strand=ignore.strand)
})
setMethod("predictCoding", c("VRanges", "TxDb", "ANY", "missing"),
function(query, subject, seqSource, varAllele, ..., ignore.strand=FALSE)
{
varAllele <- alt(query)
query <- as(query, "GRanges")
if (!is(varAllele, "DNAStringSet")) {
tryCatch({
varAllele <- DNAStringSet(varAllele)
}, error=function(e) {
stop(paste0("attempt to coerce 'alt' to DNAStringSet failed with ",
"error: ", conditionMessage(e)))
})
}
.predictCoding(query, subject, seqSource, varAllele, ...,
ignore.strand=ignore.strand)
})
.predictCoding <-
function(query, subject, seqSource, varAllele, ...,
cache=new.env(parent=emptyenv()), ignore.strand=FALSE)
{
stopifnot(length(varAllele) == length(query))
if (!any(seqlevels(query) %in% seqlevels(subject)))
warning("none of seqlevels(query) match seqlevels(subject)")
if (!exists(".__init__", cache, inherits=FALSE)) {
cache[["cdsbytx"]] <- cdsBy(subject)
cache[["txbygene"]] <- transcriptsBy(subject, "gene")
cache[[".__init__"]] <- TRUE
}
map <- data.frame(geneid=rep(names(cache[["txbygene"]]),
elementNROWS(cache[["txbygene"]])),
txid=mcols(unlist(cache[["txbygene"]],
use.names=FALSE))[["tx_id"]],
stringsAsFactors=FALSE)
txlocal <- .predictCodingGRangesList(query, cache[["cdsbytx"]],
seqSource, varAllele, ..., ignore.strand=ignore.strand)
txid <- mcols(txlocal)$TXID
mcols(txlocal)$GENEID <- map$geneid[match(txid, map$txid)]
txlocal
}
.predictCodingGRangesList <- function(query, cdsbytx, seqSource, varAllele,
..., genetic.code=GENETIC_CODE,
if.fuzzy.codon="error",
ignore.strand=FALSE)
{
if (ignore.strand)
strand(query) <- "*"
## variant location in cds region
mcols(query) <- append(mcols(query), DataFrame(varAllele=varAllele))
txlocal <- .localCoordinates(query, cdsbytx, ignore.strand=FALSE, ...)
if (length(txlocal) == 0)
return(txlocal)
## reverse complement "-" strand
valid <- rep(TRUE, length(txlocal))
nstrand <- as.vector(strand(txlocal) == "-")
if (any(nstrand)) {
va <- mcols(txlocal)$varAllele
va[nstrand] <- reverseComplement(va[valid & nstrand])
mcols(txlocal)$varAllele <- va
}
## frameshift
refwidth <- width(txlocal)
altallele <- mcols(txlocal)$varAllele
fmshift <- abs(width(altallele) - refwidth) %% 3 != 0
if (any(fmshift))
valid[fmshift] <- FALSE
## zero-width
zwidth <- width(altallele) == 0
if (any(zwidth)) {
warning("records with missing 'varAllele' were ignored")
valid[zwidth] <- FALSE
fmshift[zwidth] <- FALSE
}
## reference codon sequences
altpos <- (start(mcols(txlocal)$CDSLOC) - 1L) %% 3L + 1L
refCodon <- varCodon <- .getRefCodons(txlocal, altpos, seqSource, cdsbytx)
## allowed characters that can't be translated
## "N", ".", "+" and "-"
pattern <- "N|\\.|\\+|\\-"
altCheck <- grepl(pattern, as.character(altallele, use.names=FALSE))
refCheck <- grepl(pattern, as.character(refCodon, use.names=FALSE))
noTrans <- rep(FALSE, length(txlocal))
noTrans[altCheck | refCheck] <- TRUE
valid[noTrans] <- FALSE
if (any(altCheck))
warning("'varAllele' values with 'N', '.', '+' or '-'",
" were not translated")
if (any(refCheck))
warning("reference codons with 'N', '.', '+' or '-'",
" were not translated")
## substitute and translate
refAA <- varAA <- AAStringSet(rep("", length(txlocal)))
if (any(valid)) {
## 2 genetic.code versions
alt.init.codons <- attr(genetic.code, "alt_init_codons")
gc <- genetic.code
gc.no.alt.init.codons <- genetic.code
attr(gc.no.alt.init.codons, "alt_init_codons") <- character()
## ignore alt_init_codons
subseq(varCodon, altpos, width=refwidth) <- altallele
refAA[valid] <- translate(refCodon[valid],
genetic.code=gc.no.alt.init.codons,
if.fuzzy.codon=if.fuzzy.codon)
varAA <- AAStringSet(rep("", length(txlocal)))
varAA[valid] <- translate(varCodon[valid],
genetic.code=gc.no.alt.init.codons,
if.fuzzy.codon=if.fuzzy.codon)
## respect alt_init_codons at the start of the CDS
cds.start <- start(txlocal$CDSLOC) == 1L
varAA.to.modify <- varCodon %in% alt.init.codons & cds.start
refAA.to.modify <- refCodon %in% alt.init.codons & cds.start
if (any(cds.start)) {
varAA[varCodon %in% alt.init.codons & cds.start] <- "M"
refAA[refCodon %in% alt.init.codons & cds.start] <- "M"
}
}
## results
nonsynonymous <- as.character(refAA) != as.character(varAA)
consequence <- rep("synonymous", length(txlocal))
consequence[nonsynonymous] <- "nonsynonymous"
consequence[fmshift] <- "frameshift"
consequence[nonsynonymous & (as.character(varAA) %in% "*")] <- "nonsense"
consequence[zwidth | noTrans] <- "not translated"
consequence <- factor(consequence)
mcols(txlocal) <- append(mcols(txlocal),
DataFrame(GENEID=NA_character_,
CONSEQUENCE=consequence,
REFCODON=refCodon,
VARCODON=varCodon,
REFAA=refAA, VARAA=varAA))
txlocal
}
.getRefCodons <- function(txlocal, altpos, seqSource, cdsbytx)
{
## adjust codon end for
## - width of the reference sequence
## - position of alt allele substitution in the codon
cstart <- ((start(mcols(txlocal)$CDSLOC) - 1L) %/% 3L) * 3L + 1L
cend <- cstart + (((altpos + width(txlocal) - 2L) %/% 3L) * 3L + 2L)
txord <- match(mcols(txlocal)$TXID, names(cdsbytx))
txseqs <- extractTranscriptSeqs(seqSource, cdsbytx[txord])
DNAStringSet(substring(txseqs, cstart, cend))
}
|