circRNAprofiler - miRNA binding sites
0
0
Entering edit mode
Terra • 0
@terra-24154
Last seen 19 months ago
Australia

I am attempting to find miRNA binding sites for several circRNAs. I have already performed DEG analysis with EdgeR and selected the top 10 circRNAs (to start with) to find miRNA binding sites using circRNAprofiler.

I have my projectCirc directory set up with an other directory with circRNAs_001.txt containing my list of 10 circRNAs. My experiments.txt is also completed.

My circRNAs_001.txt file looks like this:

circRNA_ID  chrom   gene    strand  startUpBSE  endDownBSE  coverage
1   chr4:89330815-89340100  chr4    TEVA9   +   89330815    89340100    4

My experiments.txt file looks like this:

    label   fileName    condition
1   C1  circRNAs_001.txt    A

I have the below code to start with. I am using gencode v31.

library(BiocManager)
library(pracma)
library(circRNAprofiler)

setwd("/miRNA/")
initCircRNAprofiler(projectFolderName = "projectCirc", detectionTools = "other")
setwd("miRNA/projectCirc/")
check <- checkProjectFolder()
gtf <- formatGTF(pathToGTF = "gencode.v31.annotation.gtf")
backSplicedJunctions <- getBackSplicedJunctions(gtf)

Running the last line above, I get the error message (I have also used gencode v19 and get the same error):

> backSplicedJunctions <- getBackSplicedJunctions(gtf)
Error: Can't combine `..1$id` <logical> and `..2$id` <character>.
Run `rlang::last_error()` to see where the error occurred.

I ran rlang::last_error() but couldn't make any sense of it

> rlang::last_error()
<error/vctrs_error_incompatible_type>
Can't combine `..1$id` <logical> and `..2$id` <character>.
Backtrace:
 1. circRNAprofiler::getBackSplicedJunctions(gtf)
 4. vctrs::vec_default_ptype2(...)
 5. vctrs::stop_incompatible_type(...)
 6. vctrs:::stop_incompatible(...)
 7. vctrs:::stop_vctrs(...)
Run `rlang::last_trace()` to see the full context.
> rlang::last_trace()
<error/vctrs_error_incompatible_type>
Can't combine `..1$id` <logical> and `..2$id` <character>.
Backtrace:
    █
 1. ├─circRNAprofiler::getBackSplicedJunctions(gtf)
 2. │ └─dplyr::bind_rows(backSplicedJunctions, backSplicedJunctionsTool)
 3. │   └─vctrs::vec_rbind(!!!dots, .names_to = .id)
 4. └─vctrs::vec_default_ptype2(...)
 5.   └─vctrs::stop_incompatible_type(...)
 6.     └─vctrs:::stop_incompatible(...)
 7.       └─vctrs:::stop_vctrs(...)

From what I understand it can't merge because one is a logical vector (True/False) and the other is a character, however looking at the classes of gtf with sapply(gtf, class) none of the columns are logical. I don't know how to check the class types circRNAs_001.txt. Any help will be appreciated!

The sessionInfo()

sessionInfo()
R version 3.6.3 (2020-02-29)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS/LAPACK: /apps/intel/Composer/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin/libmkl_gf_lp64.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               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    LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] parallel  stats4    stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] circRNAprofiler_1.0.0                   gwascat_2.18.0                         
 [3] Homo.sapiens_1.3.1                      TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2
 [5] org.Hs.eg.db_3.10.0                     GO.db_3.10.0                           
 [7] OrganismDbi_1.28.0                      GenomicFeatures_1.38.2                 
 [9] GenomicRanges_1.38.0                    GenomeInfoDb_1.22.1                    
[11] AnnotationDbi_1.48.0                    IRanges_2.20.2                         
[13] S4Vectors_0.24.4                        Biobase_2.46.0                         
[15] BiocGenerics_0.32.0                     pracma_2.3.0                           
[17] BiocManager_1.30.10                    

loaded via a namespace (and not attached):
  [1] colorspace_1.4-1                  seqinr_3.6-1                      ellipsis_0.3.1                   
  [4] htmlTable_2.0.0                   XVector_0.26.0                    base64enc_0.1-3                  
  [7] rstudioapi_0.11                   bit64_0.9-7                       interactiveDisplayBase_1.24.0    
 [10] R.methodsS3_1.8.0                 splines_3.6.3                     geneplotter_1.64.0               
 [13] knitr_1.29                        ade4_1.7-15                       Formula_1.2-3                    
 [16] Rsamtools_2.2.3                   annotate_1.64.0                   cluster_2.1.0                    
 [19] dbplyr_1.4.4                      R.oo_1.23.0                       png_0.1-7                        
 [22] graph_1.64.0                      shiny_1.5.0                       readr_1.3.1                      
 [25] compiler_3.6.3                    httr_1.4.1                        backports_1.1.8                  
 [28] assertthat_0.2.1                  Matrix_1.2-18                     fastmap_1.0.1                    
 [31] limma_3.42.2                      later_1.1.0.1                     htmltools_0.5.0                  
 [34] prettyunits_1.1.1                 tools_3.6.3                       gtable_0.3.0                     
 [37] glue_1.4.1                        GenomeInfoDbData_1.2.2            reshape2_1.4.4                   
 [40] dplyr_1.0.0                       rappdirs_0.3.1                    Rcpp_1.0.4.6                     
 [43] vctrs_0.3.1                       Biostrings_2.54.0                 rtracklayer_1.46.0               
 [46] xfun_0.15                         stringr_1.4.0                     mime_0.9                         
 [49] lifecycle_0.2.0                   XML_3.99-0.3                      edgeR_3.28.1                     
 [52] AnnotationHub_2.18.0              MASS_7.3-51.5                     zlibbioc_1.32.0                  
 [55] scales_1.1.1                      BSgenome_1.54.0                   hms_0.5.3                        
 [58] promises_1.1.1                    SummarizedExperiment_1.16.1       RBGL_1.62.1                      
 [61] RColorBrewer_1.1-2                yaml_2.2.1                        curl_4.3                         
 [64] memoise_1.1.0                     gridExtra_2.3                     ggplot2_3.3.2                    
 [67] biomaRt_2.42.1                    rpart_4.1-15                      latticeExtra_0.6-29              
 [70] stringi_1.4.6                     RSQLite_2.2.1                     BiocVersion_3.10.1               
 [73] genefilter_1.68.0                 checkmate_2.0.0                   BiocParallel_1.20.1              
 [76] rlang_0.4.6                       pkgconfig_2.0.3                   matrixStats_0.56.0               
 [79] bitops_1.0-6                      lattice_0.20-38                   purrr_0.3.4                      
 [82] GenomicAlignments_1.22.1          htmlwidgets_1.5.1                 bit_1.1-15.2                     
 [85] tidyselect_1.1.0                  BSgenome.Hsapiens.UCSC.hg19_1.4.0 plyr_1.8.6                       
 [88] magrittr_1.5                      DESeq2_1.26.0                     R6_2.4.1                         
 [91] generics_0.0.2                    Hmisc_4.4-1                       DelayedArray_0.12.3              
 [94] DBI_1.1.0                         pillar_1.4.4                      foreign_0.8-75                   
 [97] survival_3.1-8                    RCurl_1.98-1.2                    nnet_7.3-12                      
[100] tibble_3.0.3                      crayon_1.3.4                      BiocFileCache_1.10.2             
[103] jpeg_0.1-8.1                      progress_1.2.2                    locfit_1.5-9.4                   
[106] grid_3.6.3                        data.table_1.12.8                 blob_1.2.1                       
[109] digest_0.6.25                     xtable_1.8-4                      httpuv_1.5.4                     
[112] R.utils_2.9.2                     openssl_1.4.2                     munsell_0.5.0                    
[115] askpass_1.1
circRNA RNA-seq circRNAprofiler • 918 views
ADD COMMENT

Login before adding your answer.

Traffic: 361 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6