Updated: Apr-15-2025
This vignette provides troubleshooting tips for common issues encountered when using the MotifPeeker
package.
If you encounter an issue that is not covered, please open an issue on the GitHub repository.
utils::sessionInfo()
## R version 4.5.0 RC (2025-04-04 r88126)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.2 LTS
##
## Matrix products: default
## BLAS: /home/biocbuild/bbs-3.21-bioc/R/lib/libRblas.so
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0 LAPACK version 3.12.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_GB LC_COLLATE=C
## [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: America/New_York
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] MotifPeeker_1.0.0
##
## loaded via a namespace (and not attached):
## [1] DBI_1.2.3 bitops_1.0-9
## [3] gridExtra_2.3 testthat_3.2.3
## [5] rlang_1.1.6 magrittr_2.0.3
## [7] matrixStats_1.5.0 compiler_4.5.0
## [9] RSQLite_2.3.9 vctrs_0.6.5
## [11] pkgconfig_2.0.3 crayon_1.5.3
## [13] fastmap_1.2.0 dbplyr_2.5.0
## [15] XVector_0.48.0 memes_1.16.0
## [17] ca_0.71.1 Rsamtools_2.24.0
## [19] rmarkdown_2.29 tzdb_0.5.0
## [21] UCSC.utils_1.4.0 waldo_0.6.1
## [23] purrr_1.0.4 bit_4.6.0
## [25] xfun_0.52 ggseqlogo_0.2
## [27] cachem_1.1.0 GenomeInfoDb_1.44.0
## [29] jsonlite_2.0.0 blob_1.2.4
## [31] DelayedArray_0.34.0 BiocParallel_1.42.0
## [33] parallel_4.5.0 R6_2.6.1
## [35] bslib_0.9.0 RColorBrewer_1.1-3
## [37] rtracklayer_1.68.0 pkgload_1.4.0
## [39] brio_1.1.5 GenomicRanges_1.60.0
## [41] jquerylib_0.1.4 Rcpp_1.0.14
## [43] assertthat_0.2.1 SummarizedExperiment_1.38.0
## [45] iterators_1.0.14 knitr_1.50
## [47] R.utils_2.13.0 readr_2.1.5
## [49] IRanges_2.42.0 Matrix_1.7-3
## [51] tidyselect_1.2.1 abind_1.4-8
## [53] yaml_2.3.10 viridis_0.6.5
## [55] TSP_1.2-4 codetools_0.2-20
## [57] curl_6.2.2 lattice_0.22-7
## [59] tibble_3.2.1 Biobase_2.68.0
## [61] evaluate_1.0.3 desc_1.4.3
## [63] heatmaply_1.5.0 BiocFileCache_2.16.0
## [65] universalmotif_1.26.0 Biostrings_2.76.0
## [67] pillar_1.10.2 filelock_1.0.3
## [69] MatrixGenerics_1.20.0 DT_0.33
## [71] foreach_1.5.2 stats4_4.5.0
## [73] plotly_4.10.4 generics_0.1.3
## [75] rprojroot_2.0.4 RCurl_1.98-1.17
## [77] S4Vectors_0.46.0 hms_1.1.3
## [79] ggplot2_3.5.2 munsell_0.5.1
## [81] scales_1.3.0 glue_1.8.0
## [83] lazyeval_0.2.2 tools_4.5.0
## [85] dendextend_1.19.0 BiocIO_1.18.0
## [87] data.table_1.17.0 BSgenome_1.76.0
## [89] webshot_0.5.5 GenomicAlignments_1.44.0
## [91] registry_0.5-1 XML_3.99-0.18
## [93] grid_4.5.0 tidyr_1.3.1
## [95] seriation_1.5.7 cmdfun_1.0.2
## [97] colorspace_2.1-1 GenomeInfoDbData_1.2.14
## [99] restfulr_0.0.15 cli_3.6.4
## [101] S4Arrays_1.8.0 viridisLite_0.4.2
## [103] dplyr_1.1.4 gtable_0.3.6
## [105] R.methodsS3_1.8.2 sass_0.4.10
## [107] digest_0.6.37 BiocGenerics_0.54.0
## [109] SparseArray_1.8.0 rjson_0.2.23
## [111] htmlwidgets_1.6.4 R.oo_1.27.0
## [113] memoise_2.0.1 htmltools_0.5.8.1
## [115] lifecycle_1.0.4 httr_1.4.7
## [117] MASS_7.3-65 bit64_4.6.0-1