##############################################################################
##############################################################################
###
### Running command:
###
### /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data --md5 TitanCNA
###
##############################################################################
##############################################################################
* checking for file ‘TitanCNA/DESCRIPTION’ ... OK
* preparing ‘TitanCNA’:
* checking DESCRIPTION meta-information ... OK
* cleaning src
* installing the package to build vignettes
* creating vignettes ... ERROR
--- re-building ‘TitanCNA.Rnw’ using Sweave
Warning: replacing previous import ‘GenomicRanges::shift’ by ‘data.table::shift’ when loading ‘TitanCNA’
Warning: replacing previous import ‘data.table::first’ by ‘dplyr::first’ when loading ‘TitanCNA’
Warning: replacing previous import ‘data.table::between’ by ‘dplyr::between’ when loading ‘TitanCNA’
Warning: replacing previous import ‘IRanges::desc’ by ‘dplyr::desc’ when loading ‘TitanCNA’
Warning: replacing previous import ‘IRanges::slice’ by ‘dplyr::slice’ when loading ‘TitanCNA’
Warning: replacing previous import ‘BiocGenerics::combine’ by ‘dplyr::combine’ when loading ‘TitanCNA’
Warning: replacing previous import ‘data.table::last’ by ‘dplyr::last’ when loading ‘TitanCNA’
Warning: replacing previous import ‘GenomicRanges::setdiff’ by ‘dplyr::setdiff’ when loading ‘TitanCNA’
Warning: replacing previous import ‘GenomicRanges::intersect’ by ‘dplyr::intersect’ when loading ‘TitanCNA’
Warning: replacing previous import ‘IRanges::collapse’ by ‘dplyr::collapse’ when loading ‘TitanCNA’
Warning: replacing previous import ‘GenomicRanges::union’ by ‘dplyr::union’ when loading ‘TitanCNA’
Warning: replacing previous import ‘BiocGenerics::setequal’ by ‘dplyr::setequal’ when loading ‘TitanCNA’
Warning: replacing previous import ‘dplyr::select’ by ‘VariantAnnotation::select’ when loading ‘TitanCNA’
Warning in fun(libname, pkgname) :
Package 'TitanCNA' is deprecated and will be removed from Bioconductor
version 3.23
titan: Loading data /tmp/Rtmp8AAsNe/Rinst29bfdc271357d0/TitanCNA/extdata/test_alleleCounts_chr2.txt
Reading GC and mappability files
Slurping: /tmp/Rtmp8AAsNe/Rinst29bfdc271357d0/TitanCNA/extdata/gc_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Slurping: /tmp/Rtmp8AAsNe/Rinst29bfdc271357d0/TitanCNA/extdata/map_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Loading tumour file:/tmp/Rtmp8AAsNe/Rinst29bfdc271357d0/TitanCNA/extdata/test_tum_chr2.wig
Slurping: /tmp/Rtmp8AAsNe/Rinst29bfdc271357d0/TitanCNA/extdata/test_tum_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Loading normal file:/tmp/Rtmp8AAsNe/Rinst29bfdc271357d0/TitanCNA/extdata/test_norm_chr2.wig
Slurping: /tmp/Rtmp8AAsNe/Rinst29bfdc271357d0/TitanCNA/extdata/test_norm_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Warning in .replace_seqlevels_style(x_seqlevels, value) :
found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Warning in .replace_seqlevels_style(x_seqlevels, value) :
found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Warning in .replace_seqlevels_style(x_seqlevels, value) :
found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Warning in .replace_seqlevels_style(x_seqlevels, value) :
found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Correcting Tumour
Applying filter on data...
Correcting for GC bias...
Correcting for mappability bias...
Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm) :
collapsing to unique 'x' values
Correcting Normal
Applying filter on data...
Correcting for GC bias...
Correcting for mappability bias...
Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm) :
collapsing to unique 'x' values
Normalizing Tumour by Normal
Removed Chrs:
titan: Running HMM...
fwdBack: Iteration 1 chr: Warning: executing %dopar% sequentially: no parallel backend registered
1
Using Coordinate Descent iteration 11 with Fval=-30487 and n=0.398 (map), s=[0.0083,0.3765], phi=1.504
fwdBack: loglik=-34147.1996
fwdBack: priorN=0.3629
fwdBack: priorS=-2.6674
fwdBack: priorVar=-436.3410
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.0846
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 1 complete loglik=-34525.5860
fwdBack: Elapsed time for iteration 1: 0.0435m
fwdBack: Iteration 2 chr: 1
Using Coordinate Descent iteration 11 with Fval=-26849 and n=0.2538 (map), s=[0.0091,0.4329], phi=1.47
fwdBack: loglik=-28981.3008
fwdBack: priorN=0.1277
fwdBack: priorS=-2.5343
fwdBack: priorVar=-746.0816
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.2475
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 2 complete loglik=-29669.6928
fwdBack: Elapsed time for iteration 2: 0.0423m
fwdBack: Iteration 3 chr: 1
Using Coordinate Descent iteration 11 with Fval=-26098 and n=0.2115 (map), s=[0.0069,0.4526], phi=1.485
fwdBack: loglik=-26372.5480
fwdBack: priorN=0.0007
fwdBack: priorS=-2.7944
fwdBack: priorVar=-814.3518
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.1749
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 3 complete loglik=-27129.5248
fwdBack: Elapsed time for iteration 3: 0.0422m
fwdBack: Total elapsed time: 0.2093m
outputTitanResults: Correcting results...
outputTitanResults: Recomputing log-likelihood.
titan: Running HMM...
fwdBack: Iteration 1 chr: 1
*** caught segfault ***
address 0x1, cause 'memory not mapped'
Traceback:
1: eval(xpr, envir = envir)
2: eval(xpr, envir = envir)
3: doTryCatch(return(expr), name, parentenv, handler)
4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
5: tryCatchList(expr, classes, parentenv, handlers)
6: tryCatch(eval(xpr, envir = envir), error = function(e) e)
7: doTryCatch(return(expr), name, parentenv, handler)
8: tryCatchOne(expr, names, parentenv, handlers[[1L]])
9: tryCatchList(expr, classes, parentenv, handlers)
10: tryCatch({ repeat { args <- nextElem(it) if (obj$verbose) { cat(sprintf("evaluation # %d:\n", i)) print(args) } for (a in names(args)) assign(a, args[[a]], pos = envir, inherits = FALSE) r <- tryCatch(eval(xpr, envir = envir), error = function(e) e) if (obj$verbose) { cat("result of evaluating expression:\n") print(r) } tryCatch(accumulator(list(r), i), error = function(e) { cat("error calling combine function:\n") print(e) NULL }) i <- i + 1 }}, error = function(e) { if (!identical(conditionMessage(e), "StopIteration")) stop(simpleError(conditionMessage(e), expr))})
11: e$fun(obj, substitute(ex), parent.frame(), e$data)
12: foreach(c = 1:numChrs, .combine = rbind, .noexport = c("data")) %dopar% { if (verbose == TRUE) { message(c, " ", appendLF = FALSE) } .Call("fwd_backC_clonalCN", log(piGiZi[c, ]), py[, chrsI[[c]]], gNoOUTStateParams$ct, gNoOUTStateParams$ZS, Z, posn[chrsI[[c]]], txnZstrength * txnExpLen, txnExpLen, O) }
13: runEMclonalCN(data, newParams, maxiter = 1, txnExpLen = convergeParams$txn_exp_len, txnZstrength = convergeParams$txn_z_strength, useOutlierState = FALSE, normalEstimateMethod = "fixed", estimateS = FALSE, estimatePloidy = F, verbose = verbose)
14: removeEmptyClusters(data, convergeParams, outmat, proportionThreshold = proportionThreshold, proportionThresholdClonal = proportionThresholdClonal, recomputeLogLik = recomputeLogLik, verbose = verbose)
15: outputTitanResults(data, convergeParams, optimalPath, filename = NULL, posteriorProbs = FALSE, subcloneProfiles = TRUE, correctResults = TRUE, proportionThreshold = 0.05, proportionThresholdClonal = 0.05, is.haplotypeData = FALSE)
16: eval(expr, .GlobalEnv)
17: eval(expr, .GlobalEnv)
18: withVisible(eval(expr, .GlobalEnv))
19: doTryCatch(return(expr), name, parentenv, handler)
20: tryCatchOne(expr, names, parentenv, handlers[[1L]])
21: tryCatchList(expr, classes, parentenv, handlers)
22: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))})
23: try(withVisible(eval(expr, .GlobalEnv)), silent = TRUE)
24: evalFunc(ce, options)
25: tryCatchList(expr, classes, parentenv, handlers)
26: tryCatch(evalFunc(ce, options), finally = { cat("\n") sink()})
27: driver$runcode(drobj, chunk, chunkopts)
28: utils::Sweave(...)
29: engine$weave(file, quiet = quiet, encoding = enc)
30: doTryCatch(return(expr), name, parentenv, handler)
31: tryCatchOne(expr, names, parentenv, handlers[[1L]])
32: tryCatchList(expr, classes, parentenv, handlers)
33: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) } outputs <- c(outputs, output)}, error = function(e) { thisOK <<- FALSE fails <<- c(fails, file) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))})
34: tools::buildVignettes(dir = ".", tangle = TRUE)
An irrecoverable exception occurred. R is aborting now ...
Segmentation fault (core dumped)