igvShiny
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GWAS tracks not found
Hello! I have a new issue :)
When I try to add a GWAS track, using the 1.0.5 version, a Not Found error is raised:
If I check the tracks folder, there is no new file for the GWAS track. The previous version (1.5.9009) is working fine.
Some extra information:
- js logs for version 1.0.5 console-export-2024-9-5_11-26-17.txt
> sessionInfo()
R version 4.2.0 (2022-04-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS 13.5.2
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] parallel stats graphics grDevices datasets utils methods base
other attached packages:
[1] magrittr_2.0.3 shiny_1.9.1 iatlas.app_0.0.0.9000
[4] ImmuneSubtypeClassifier_0.1.0 stringr_1.5.1 plotROC_2.2.1
[7] ggplot2_3.5.1 xgboost_1.6.0.1 testthat_3.1.4
[10] devtools_2.4.3 usethis_2.1.5
loaded via a namespace (and not attached):
[1] utf8_1.2.2 shinydashboard_0.7.2 tidyselect_1.2.1 htmlwidgets_1.5.4
[5] grid_4.2.0 Rtsne_0.16 pROC_1.18.0 iatlas.modules_0.9.0
[9] munsell_0.5.0 codetools_0.2-19 sortable_0.4.5 DT_0.23
[13] future_1.26.1 withr_2.5.0 colorspace_2.0-3 knitr_1.39
[17] rstudioapi_0.13 stats4_4.2.0 ggsignif_0.6.3 listenv_0.8.0
[21] urltools_1.7.3 GenomeInfoDbData_1.2.8 iatlasGraphQLClient_0.2.8 KMsurv_0.1-5
[25] farver_2.1.0 bit64_4.0.5 rprojroot_2.0.3 parallelly_1.31.1
[29] vctrs_0.6.4 generics_0.1.2 lambda.r_1.2.4 ipred_0.9-12
[33] xfun_0.31 R6_2.5.1 markdown_1.1 GenomeInfoDb_1.32.4
[37] grImport2_0.2-0 bitops_1.0-7 arrow_8.0.0 cachem_1.1.0
[41] assertthat_0.2.1 vroom_1.6.5 promises_1.2.0.1 shinycssloaders_1.1.0
[45] scales_1.3.0 nnet_7.3-18 gtable_0.3.0 globals_0.15.0
[49] processx_3.5.3 timeDate_3043.102 rlang_1.1.4 splines_4.2.0
[53] rstatix_0.7.0 lazyeval_0.2.2 ModelMetrics_1.2.2.2 concordanceIndex_0.1
[57] broom_0.8.0 checkmate_2.1.0 yaml_2.3.5 BiocManager_1.30.25
[61] reshape2_1.4.4 abind_1.4-5 crosstalk_1.2.0 backports_1.4.1
[65] rsconnect_1.1.1 httpuv_1.6.5 caret_6.0-92 ggmosaic_0.3.3
[69] tools_4.2.0 lava_1.6.10 graphql_1.5.1 ghql_0.1.0
[73] ellipsis_0.3.2 jquerylib_0.1.4 RColorBrewer_1.1-3 BiocGenerics_0.42.0
[77] sessioninfo_1.2.2 Rcpp_1.0.8.3 plyr_1.8.7 base64enc_0.1-3
[81] zlibbioc_1.42.0 purrr_1.0.2 RCurl_1.98-1.6 ps_1.7.0
[85] prettyunits_1.1.1 ggpubr_0.4.0 rpart_4.1.19 viridis_0.6.5
[89] fontawesome_0.5.2 zoo_1.8-10 S4Vectors_0.34.0 ggrepel_0.9.1
[93] cluster_2.1.4 fs_1.5.2 crul_1.5.0 data.table_1.14.2
[97] futile.options_1.0.1 triebeard_0.4.1 survminer_0.4.9 pkgload_1.2.4
[101] randomcoloR_1.1.0.1 hms_1.1.1 shinyjs_2.1.0 mime_0.12
[105] evaluate_0.15 xtable_1.8-4 XML_3.99-0.9 jpeg_0.1-9
[109] IRanges_2.30.1 gridExtra_2.3 shape_1.4.6 wrapr_2.0.9
[113] compiler_4.2.0 tibble_3.2.1 V8_4.2.0 crayon_1.5.3
[117] htmltools_0.5.8.1 iatlas.modules2_0.6.1 later_1.3.0 tzdb_0.3.0
[121] tidyr_1.3.1 lubridate_1.8.0 formatR_1.14 MASS_7.3-57
[125] Matrix_1.6-1.1 car_3.0-13 readr_2.1.5 brio_1.1.3
[129] cli_3.6.1 gower_1.0.1 km.ci_0.5-6 GenomicRanges_1.48.0
[133] pkgconfig_2.0.3 plotly_4.10.4 recipes_0.2.0 foreach_1.5.2
[137] bslib_0.8.0 hardhat_0.2.0 XVector_0.36.0 prodlim_2019.11.13
[141] snakecase_0.11.1 callr_3.7.0 digest_0.6.29 graph_1.74.0
[145] httpcode_0.3.0 rmarkdown_2.14 survMisc_0.5.6 cyjShiny_1.0.35
[149] curl_5.1.0 lifecycle_1.0.4 nlme_3.1-162 jsonlite_1.8.0
[153] carData_3.0-5 futile.logger_1.4.3 desc_1.4.1 viridisLite_0.4.0
[157] fansi_1.0.3 pillar_1.9.0 igvShiny_1.0.5 lattice_0.20-45
[161] fastmap_1.2.0 httr_1.4.3 learnr_0.10.1 pkgbuild_1.3.1
[165] survival_3.5-3 glue_1.6.2 remotes_2.4.2 png_0.1-7
[169] iterators_1.0.14 glmnet_4.1-4 bit_4.0.4 sass_0.4.9
[173] class_7.3-21 stringi_1.7.6 memoise_2.0.1 renv_1.0.3
[177] dplyr_1.1.4 future.apply_1.9.0