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Description
Hi, I'm running BSmooth using the command BSmooth(bismark, ns=10, h=1000, maxGap=1e5, verbose=T, BPPARAM = MulticoreParam(workers = 32, progressbar = TRUE)), which is on a dataset generated from GpC methylation data and the result of bismark shows like this:
An object of type 'BSseq' with
9424795 methylation loci
1 samples
has not been smoothed
All assays are in-memory.
However, the error said:
Error in BSmooth(bismark, ns = 10, h = 1000, maxGap = 1e+05, verbose = T, :
BSmooth() encountered errors: 2 of 2 smoothing tasks failed.
I have successfully running the same command on a much smaller dataset which contains less them 5,000 GpC methylation sites on 2 samples. I don't know what was wrong when I was running on big dataset.
Here follows my sessionInfo():
R version 4.4.3 (2025-02-28)
Platform: x86_64-conda-linux-gnu
Running under: CentOS Linux 7 (Core)
Matrix products: default
BLAS/LAPACK: /home/path/software/miniconda/envs/PA_env/lib/libopenblasp-r0.3.30.so; LAPACK version 3.12.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
time zone: XXX
tzcode source: system (glibc)
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] BiocParallel_1.40.0 Rsamtools_2.22.0
[3] Biostrings_2.74.0 XVector_0.46.0
[5] dplyr_1.1.4 tibble_3.3.0
[7] bsseq_1.42.0 SummarizedExperiment_1.36.0
[9] Biobase_2.66.0 MatrixGenerics_1.18.0 [11] matrixStats_1.5.0 GenomicRanges_1.58.0
[13] GenomeInfoDb_1.42.0 IRanges_2.40.0
[15] S4Vectors_0.44.0 BiocGenerics_0.52.0
[17] data.table_1.17.6
loaded via a namespace (and not attached):
[1] rjson_0.2.23 rhdf5_2.50.0
[3] lattice_0.22-7 generics_0.1.4
[5] vctrs_0.6.5 rhdf5filters_1.18.0
[7] tools_4.4.3 bitops_1.0-9
[9] curl_6.2.2 parallel_4.4.3
[11] pkgconfig_2.0.3 R.oo_1.27.1
[13] Matrix_1.7-3 BSgenome_1.74.0
[15] RColorBrewer_1.1-3 sparseMatrixStats_1.18.0
[17] lifecycle_1.0.4 GenomeInfoDbData_1.2.13
[19] compiler_4.4.3 farver_2.1.2
[21] statmod_1.5.0 codetools_0.2-20
[23] permute_0.9-8 RCurl_1.98-1.16
[25] yaml_2.3.10 pillar_1.11.0
[27] crayon_1.5.3 R.utils_2.13.0
[29] DelayedArray_0.32.0 limma_3.62.1
[31] abind_1.4-5 gtools_3.9.5
[33] tidyselect_1.2.1 locfit_1.5-9.12
[35] restfulr_0.0.16 grid_4.4.3
[37] colorspace_2.1-1 cli_3.6.5
[39] SparseArray_1.6.0 magrittr_2.0.3
[41] S4Arrays_1.6.0 XML_3.99-0.17
[43] DelayedMatrixStats_1.28.0 scales_1.4.0
[45] UCSC.utils_1.2.0 httr_1.4.7
[47] R.methodsS3_1.8.2 HDF5Array_1.34.0
[49] BiocIO_1.16.0 rtracklayer_1.66.0
[51] rlang_1.1.6 Rcpp_1.1.0
[53] glue_1.8.0 BiocManager_1.30.26
[55] jsonlite_2.0.0 R6_2.6.1
[57] Rhdf5lib_1.28.0 GenomicAlignments_1.42.0
[59] zlibbioc_1.52.0
Here is BiocManager::valid():
Bioconductor version '3.20'
- 16 packages out-of-date
- 0 packages too new
create a valid installation with
BiocManager::install(c(
"abind", "assorthead", "BiocParallel", "Biostrings", "curl", "data.table",
"DelayedMatrixStats", "GenomeInfoDb", "IRanges", "limma", "MatrixGenerics",
"RCurl", "rhdf5", "rhdf5filters", "SparseArray", "XML"
), update = TRUE, ask = FALSE, force = TRUE)
more details: BiocManager::valid()$too_new, BiocManager::valid()$out_of_date
Warning message:
16 packages out-of-date; 0 packages too new