Unable to create VariantExperiment object from VCF
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@4db1a7b6
Last seen 4 months ago
United States

I am trying to create a VariantExperiment object from a VCF, but I am getting this error:

Error in validObject(.Object) : invalid class “DelayedAperm” object: 
    only dimensions equal to 1 can be dropped

The GDS object is created successfully, so the problem is happening in makeVariantExperimentFromGDS. I see that I am failing a validity check, but not sure where. Any suggestions would be greatly appreciated.


> vcf = VariantExperiment::makeVariantExperimentFromVCF(vcf_path,
+                                                       verbose=TRUE)
Fri Aug 19 16:26:52 2022
Variant Call Format (VCF) Import:
    file(s):
        BSA6.IGV.vcf (81.1M)
    file format: VCFv4.2
    genome reference: /scratch/mblab/daniel.agustinho/references/crNeoKN99.fasta
    the number of sets of chromosomes (ploidy): 1
    the number of samples: 31
    genotype storage: bit2
    compression method: LZMA_RA
    # of samples: 31
Output:
    /tmp/RtmphIXgN8/file72ed1219a41ca/se.gds
Parsing 'BSA6.IGV.vcf':
+ genotype/data   { Bit2 1x31x52742 LZMA_ra(16.7%), 120.1K }
Digests:
    sample.id  [md5: 8b287218ba90f14a0f577ab3ad30d8c5]
...
    annotation/format/QA  [md5: ac3472b499e80085f79add9103ac19d1]
    annotation/format/MIN_DP  [md5: 6e6dcb39f4b68c5a7dc6ad670c6ff366]
Done.
Fri Aug 19 16:27:08 2022
Optimize the access efficiency ...
Clean up the fragments of GDS file:
    open the file '/tmp/RtmphIXgN8/file72ed1219a41ca/se.gds' (19.9M)
    # of fragments: 1048
    save to '/tmp/RtmphIXgN8/file72ed1219a41ca/se.gds.tmp'
    rename '/tmp/RtmphIXgN8/file72ed1219a41ca/se.gds.tmp' (19.9M, reduced: 9.6K)
    # of fragments: 231
Fri Aug 19 16:27:08 2022
Error in validObject(.Object) : invalid class “DelayedAperm” object: 
    only dimensions equal to 1 can be dropped
> sessionInfo()
R version 4.2.1 (2022-06-23)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.4 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/atlas/libblas.so.3.10.3
LAPACK: /usr/lib/x86_64-linux-gnu/atlas/liblapack.so.3.10.3

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       

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

other attached packages:
 [1] SeqVarTools_1.34.0         
 [2] here_1.0.1                 
 [3] SeqArray_1.36.2            
 [4] gdsfmt_1.32.0              
 [5] forcats_0.5.1              
 [6] stringr_1.4.0              
 [7] dplyr_1.0.9                
 [8] purrr_0.3.4                
 [9] readr_2.1.2                
[10] tidyr_1.2.0                
[11] tibble_3.1.8               
[12] ggplot2_3.3.6              
[13] tidyverse_1.3.2            
[14] VariantExperiment_1.10.0   
[15] SummarizedExperiment_1.26.1
[16] Biobase_2.56.0             
[17] GenomicRanges_1.48.0       
[18] GenomeInfoDb_1.32.3        
[19] IRanges_2.30.1             
[20] MatrixGenerics_1.8.1       
[21] matrixStats_0.62.0         
[22] S4Vectors_0.34.0           
[23] BiocGenerics_0.42.0        
[24] BSA_0.0.0.9000             

loaded via a namespace (and not attached):
  [1] readxl_1.4.1             backports_1.4.1         
  [3] BiocFileCache_2.4.0      splines_4.2.1           
  [5] QTLseqr_0.7.5.2          operator.tools_1.6.3    
  [7] BiocParallel_1.30.3      usethis_2.1.6           
  [9] digest_0.6.29            htmltools_0.5.3         
 [11] fansi_1.0.3              magrittr_2.0.3          
 [13] memoise_2.0.1            BSgenome_1.64.0         
 [15] GDSArray_1.16.0          googlesheets4_1.0.1     
 [17] cluster_2.1.3            tzdb_0.3.0              
 [19] Biostrings_2.64.1        modelr_0.1.9            
 [21] formula.tools_1.7.1      stabledist_0.7-1        
 [23] prettyunits_1.1.1        colorspace_2.0-3        
 [25] blob_1.2.3               rvest_1.0.2             
 [27] rappdirs_0.3.3           haven_2.5.0             
 [29] xfun_0.32                crayon_1.5.1            
 [31] RCurl_1.98-1.8           jsonlite_1.8.0          
 [33] VariantAnnotation_1.42.1 iterators_1.0.14        
 [35] glue_1.6.2               gtable_0.3.0            
 [37] gargle_1.2.0             zlibbioc_1.42.0         
 [39] XVector_0.36.0           DelayedArray_0.22.0     
 [41] DelayedDataFrame_1.12.0  scales_1.2.0            
 [43] DBI_1.1.3                Rcpp_1.0.9              
 [45] progress_1.2.2           clue_0.3-61             
 [47] bit_4.0.4                timeSeries_4021.104     
 [49] httr_1.4.4               logistf_1.24.1          
 [51] ellipsis_0.3.2           mice_3.14.0             
 [53] spatial_7.3-15           pkgconfig_2.0.3         
 [55] XML_3.99-0.10            dbplyr_2.2.1            
 [57] locfit_1.5-9.6           utf8_1.2.2              
 [59] tidyselect_1.1.2         rlang_1.0.4             
 [61] AnnotationDbi_1.58.0     munsell_0.5.0           
 [63] cellranger_1.1.0         tools_4.2.1             
 [65] cachem_1.0.6             cli_3.3.0               
 [67] generics_0.1.3           RSQLite_2.2.16          
 [69] broom_1.0.0              evaluate_0.16           
 [71] fastmap_1.1.0            yaml_2.3.5              
 [73] knitr_1.39               bit64_4.0.5             
 [75] fs_1.5.2                 KEGGREST_1.36.3         
 [77] nlme_3.1-159             GWASExactHW_1.01        
 [79] whisker_0.4              xml2_1.3.3              
 [81] biomaRt_2.52.0           compiler_4.2.1          
 [83] rstudioapi_0.13          filelock_1.0.2          
 [85] curl_4.3.2               png_0.1-7               
 [87] reprex_2.0.2             stringi_1.7.8           
 [89] statip_0.2.3             GenomicFeatures_1.48.3  
 [91] desc_1.4.1               modeest_2.4.0           
 [93] lattice_0.20-45          fBasics_4021.92         
 [95] Matrix_1.4-1             vctrs_0.4.1             
 [97] pillar_1.8.1             lifecycle_1.0.1         
 [99] BiocManager_1.30.18      data.table_1.14.2       
[101] bitops_1.0-7             SNPRelate_1.30.1        
[103] rtracklayer_1.56.1       R6_2.5.1                
[105] stable_1.1.6             BiocIO_1.6.0            
[107] codetools_0.2-18         assertthat_0.2.1        
[109] rprojroot_2.0.3          rjson_0.2.21            
[111] withr_2.5.0              GenomicAlignments_1.32.1
[113] Rsamtools_2.12.0         GenomeInfoDbData_1.2.8  
[115] mgcv_1.8-40              parallel_4.2.1          
[117] hms_1.1.2                grid_4.2.1              
[119] rpart_4.1.16             timeDate_4021.104       
[121] rmarkdown_2.15           rmutil_1.1.9            
[123] googledrive_2.0.0        lubridate_1.8.0         
[125] restfulr_0.0.15
VariantExperiment • 386 views
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