############################################################################## ############################################################################## ### ### 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 ‘IRanges::desc’ by ‘dplyr::desc’ when loading ‘TitanCNA’ Warning: replacing previous import ‘BiocGenerics::setequal’ by ‘dplyr::setequal’ when loading ‘TitanCNA’ Warning: replacing previous import ‘IRanges::slice’ by ‘dplyr::slice’ when loading ‘TitanCNA’ Warning: replacing previous import ‘GenomicRanges::intersect’ by ‘dplyr::intersect’ when loading ‘TitanCNA’ Warning: replacing previous import ‘data.table::last’ by ‘dplyr::last’ when loading ‘TitanCNA’ Warning: replacing previous import ‘GenomicRanges::union’ by ‘dplyr::union’ when loading ‘TitanCNA’ Warning: replacing previous import ‘data.table::between’ by ‘dplyr::between’ when loading ‘TitanCNA’ Warning: replacing previous import ‘BiocGenerics::combine’ by ‘dplyr::combine’ when loading ‘TitanCNA’ Warning: replacing previous import ‘IRanges::collapse’ by ‘dplyr::collapse’ when loading ‘TitanCNA’ Warning: replacing previous import ‘GenomicRanges::setdiff’ by ‘dplyr::setdiff’ 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/RtmpredhwV/Rinst326bec13d24de3/TitanCNA/extdata/test_alleleCounts_chr2.txt Reading GC and mappability files Slurping: /tmp/RtmpredhwV/Rinst326bec13d24de3/TitanCNA/extdata/gc_chr2.wig Parsing: fixedStep chrom=2 start=1 step=1000 span=1000 Sorting by decreasing chromosome size Slurping: /tmp/RtmpredhwV/Rinst326bec13d24de3/TitanCNA/extdata/map_chr2.wig Parsing: fixedStep chrom=2 start=1 step=1000 span=1000 Sorting by decreasing chromosome size Loading tumour file:/tmp/RtmpredhwV/Rinst326bec13d24de3/TitanCNA/extdata/test_tum_chr2.wig Slurping: /tmp/RtmpredhwV/Rinst326bec13d24de3/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/RtmpredhwV/Rinst326bec13d24de3/TitanCNA/extdata/test_norm_chr2.wig Slurping: /tmp/RtmpredhwV/Rinst326bec13d24de3/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=-30430 and n=0.3964 (map), s=[0.0082,0.3749], phi=1.497 fwdBack: loglik=-34142.8644 fwdBack: priorN=0.3616 fwdBack: priorS=-2.6797 fwdBack: priorVar=-438.5322 fwdBack: priorVarR=0.0000 fwdBack: priorPhi=-1.1153 fwdBack: priorPiG=60.3628 fwdBack: priorPiZ=0.9808 fwdBack: EM iteration 1 complete loglik=-34523.4864 fwdBack: Elapsed time for iteration 1: 0.0424m fwdBack: Iteration 2 chr: 1 Using Coordinate Descent iteration 11 with Fval=-26808 and n=0.2541 (map), s=[0.0083,0.4327], phi=1.47 fwdBack: loglik=-28867.5201 fwdBack: priorN=0.1285 fwdBack: priorS=-2.6174 fwdBack: priorVar=-754.1389 fwdBack: priorVarR=0.0000 fwdBack: priorPhi=-1.2463 fwdBack: priorPiG=60.3628 fwdBack: priorPiZ=0.9808 fwdBack: EM iteration 2 complete loglik=-29564.0505 fwdBack: Elapsed time for iteration 2: 0.0565m fwdBack: Iteration 3 chr: 1 Using Coordinate Descent iteration 11 with Fval=-26050 and n=0.2114 (map), s=[0.0068,0.4528], phi=1.485 fwdBack: loglik=-26320.3577 fwdBack: priorN=0.0004 fwdBack: priorS=-2.8029 fwdBack: priorVar=-824.1822 fwdBack: priorVarR=0.0000 fwdBack: priorPhi=-1.1721 fwdBack: priorPiG=60.3628 fwdBack: priorPiZ=0.9808 fwdBack: EM iteration 3 complete loglik=-27087.1709 fwdBack: Elapsed time for iteration 3: 0.0470m fwdBack: Total elapsed time: 0.2493m 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)