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UcscTrack: track issue #87
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Meet the similar problem. Should I set the parameter of 'track' and 'table' simultaneously in UcscTrack function to retrieve the right data tables? Many thanks. |
Same problem here. Is there a solution to make the function work properly? |
having the same problem I have doubled checked all the UCSC table/track names and still getting an error. The code worked fine 6 months ago |
There was an update and it's been corrected on the devel version I think. |
I'm still having the same issue, even after updating to the dev version. This is what my code looks like:
And my sessionInfo(): R version 4.3.3 (2024-02-29) Matrix products: default locale: time zone: GB attached base packages: other attached packages: loaded via a namespace (and not attached): Thanks! |
Dear Gviz team:
Hello, this is Yujin Kim.
Thanks for the great tool.
when I run the code
rTrack <- UcscTrack(genome="hg19", chromosome=chrom, track = "NCBI RefSeq", from=minbase, to=maxbase, trackType="GeneRegionTrack", rstarts="exonStarts", rends="exonEnds", gene="name", symbol="name2", transcript="name", strand="strand", fill="darkblue",stacking="squish", name="RefSeq", showId=TRUE, geneSymbol=TRUE)
I got the error
'Error in normArgTrack(track, trackids) : Unknown track: refSeqComposite
In addition, a warning message:
In.local(x,...) :
'track' parameter is deprecated; now you go by the 'table' instead
Use ucscTables (genome, track) to retrieve the list of tables for a track'
But when I look up the UCSC table browser,
I could find 'NCBI RefSeq'
https://genome.ucsc.edu/cgi-bin/hgTables?command=start
my session info
`> sessionInfo()
R version 4.3.1 (2023-06-16)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04.1 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.10.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
[4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
time zone: Asia/Seoul
tzcode source: system (glibc)
attached base packages:
[1] grid parallel stats4 stats graphics grDevices utils datasets methods
[10] base
other attached packages:
[1] DMRcatedata_2.20.0
[2] ggrepel_0.9.4
[3] ggplot2_3.4.4
[4] tibble_3.2.1
[5] dplyr_1.1.3
[6] FlowSorted.Blood.EPIC_2.6.0
[7] ExperimentHub_2.10.0
[8] AnnotationHub_3.10.0
[9] BiocFileCache_2.10.1
[10] dbplyr_2.4.0
[11] stringr_1.5.0
[12] Gviz_1.46.0
[13] minfiData_0.48.0
[14] IlluminaHumanMethylation450kmanifest_0.4.0
[15] missMethyl_1.36.0
[16] IlluminaHumanMethylation450kanno.ilmn12.hg19_0.6.1
[17] RColorBrewer_1.1-3
[18] IlluminaHumanMethylationEPICmanifest_0.3.0
[19] IlluminaHumanMethylationEPICanno.ilm10b4.hg19_0.6.0
[20] minfi_1.48.0
[21] bumphunter_1.44.0
[22] locfit_1.5-9.8
[23] Biostrings_2.70.1
[24] XVector_0.42.0
[25] limma_3.58.0
[26] knitr_1.45
[27] ENmix_1.38.01
[28] SummarizedExperiment_1.32.0
[29] MatrixGenerics_1.14.0
[30] matrixStats_1.0.0
[31] doParallel_1.0.17
[32] iterators_1.0.14
[33] foreach_1.5.2
[34] mCSEA_1.22.0
[35] Homo.sapiens_1.3.1
[36] TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2
[37] org.Hs.eg.db_3.18.0
[38] GO.db_3.18.0
[39] OrganismDbi_1.44.0
[40] GenomicFeatures_1.54.0
[41] GenomicRanges_1.54.0
[42] GenomeInfoDb_1.38.0
[43] AnnotationDbi_1.64.0
[44] IRanges_2.36.0
[45] S4Vectors_0.40.1
[46] Biobase_2.62.0
[47] BiocGenerics_0.48.0
[48] mCSEAdata_1.22.0
[49] DMRcate_2.16.0
loaded via a namespace (and not attached):
[1] DSS_2.49.0 ProtGenerics_1.34.0 bitops_1.0-7
[4] httr_1.4.7 dynamicTreeCut_1.63-1 tools_4.3.1
[7] doRNG_1.8.6 backports_1.4.1 utf8_1.2.4
[10] R6_2.5.1 HDF5Array_1.30.0 lazyeval_0.2.2
[13] maxprobes_0.0.2 rhdf5filters_1.14.0 permute_0.9-7
[16] withr_2.5.2 prettyunits_1.2.0 gridExtra_2.3
[19] base64_2.0.1 preprocessCore_1.64.0 cli_3.6.1
[22] labeling_0.4.3 readr_2.1.4 genefilter_1.84.0
[25] askpass_1.2.0 Rsamtools_2.18.0 foreign_0.8-85
[28] siggenes_1.76.0 illuminaio_0.44.0 R.utils_2.12.2
[31] dichromat_2.0-0.1 scrime_1.3.5 BSgenome_1.70.0
[34] readxl_1.4.3 impute_1.76.0 rstudioapi_0.15.0
[37] RSQLite_2.3.2 generics_0.1.3 BiocIO_1.12.0
[40] gtools_3.9.4 Matrix_1.6-1.1 interp_1.1-4
[43] fansi_1.0.5 abind_1.4-5 R.methodsS3_1.8.2
[46] lifecycle_1.0.3 yaml_2.3.7 edgeR_4.0.0
[49] gplots_3.1.3 rhdf5_2.46.0 SparseArray_1.2.0
[52] blob_1.2.4 promises_1.2.1 crayon_1.5.2
[55] lattice_0.22-5 annotate_1.80.0 KEGGREST_1.42.0
[58] pillar_1.9.0 beanplot_1.3.1 rjson_0.2.21
[61] codetools_0.2-19 glue_1.6.2 data.table_1.14.8
[64] vctrs_0.6.4 png_0.1-8 cellranger_1.1.0
[67] gtable_0.3.4 cachem_1.0.8 xfun_0.40
[70] S4Arrays_1.2.0 mime_0.12 survival_3.5-7
[73] statmod_1.5.0 interactiveDisplayBase_1.40.0 ellipsis_0.3.2
[76] nlme_3.1-163 bit64_4.0.5 bsseq_1.38.0
[79] progress_1.2.2 filelock_1.0.2 nor1mix_1.3-0
[82] irlba_2.3.5.1 KernSmooth_2.23-22 rpart_4.1.21
[85] colorspace_2.1-0 DBI_1.1.3 Hmisc_5.1-1
[88] nnet_7.3-19 tidyselect_1.2.0 bit_4.0.5
[91] compiler_4.3.1 curl_5.1.0 graph_1.80.0
[94] htmlTable_2.4.2 xml2_1.3.5 RPMM_1.25
[97] DelayedArray_0.28.0 rtracklayer_1.62.0 caTools_1.18.2
[100] checkmate_2.3.0 scales_1.2.1 quadprog_1.5-8
[103] RBGL_1.78.0 rappdirs_0.3.3 digest_0.6.33
[106] rmarkdown_2.25 GEOquery_2.70.0 htmltools_0.5.6.1
[109] pkgconfig_2.0.3 jpeg_0.1-10 base64enc_0.1-3
[112] sparseMatrixStats_1.14.0 fastmap_1.1.1 ensembldb_2.26.0
[115] rlang_1.1.1 htmlwidgets_1.6.2 shiny_1.7.5.1
[118] DelayedMatrixStats_1.24.0 farver_2.1.1 BiocParallel_1.36.0
[121] mclust_6.0.0 R.oo_1.25.0 VariantAnnotation_1.48.0
[124] RCurl_1.98-1.12 magrittr_2.0.3 Formula_1.2-5
[127] GenomeInfoDbData_1.2.11 Rhdf5lib_1.24.0 munsell_0.5.0
[130] Rcpp_1.0.11 stringi_1.7.12 zlibbioc_1.48.0
[133] MASS_7.3-60 plyr_1.8.9 deldir_1.0-9
[136] splines_4.3.1 multtest_2.58.0 hms_1.1.3
[139] rngtools_1.5.2 geneplotter_1.80.0 biomaRt_2.58.0
[142] BiocVersion_3.18.0 XML_3.99-0.14 evaluate_0.22
[145] latticeExtra_0.6-30 biovizBase_1.50.0 BiocManager_1.30.22
[148] tzdb_0.4.0 httpuv_1.6.12 tidyr_1.3.0
[151] openssl_2.1.1 purrr_1.0.2 reshape_0.8.9
[154] xtable_1.8-4 restfulr_0.0.15 AnnotationFilter_1.26.0
[157] later_1.3.1 memoise_2.0.1 GenomicAlignments_1.38.0
[160] cluster_2.1.4 `
Could you please help me?
If you could do something for me, I'd really appreciate it.
Many thanks,
Yujin Kim.
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