trouble accessing JASPAR2018.sqlite
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@mdshapiro-15113
Last seen 6.7 years ago

I have been able to use JASPAR2014 via TFBSTools.  Upgrading to JASPAR2018 has so far not been so successful.  As a fall-back, I thought I would try to access the JASPAR2018.sqlite file using DBI / RSQLite.  When I do this, I find that most of the tables are empty.

Here is my "HelloJaspar" code:

---------------------------------------------------------

library(DBI)

libDir = .libPaths()[1]
dbDir = '/home/mds59/R/x86_64-pc-linux-gnu-library/3.2/JASPAR2018/extdata'
jaspar = 'JASPAR2018'
dbName = sprintf('%s/%s/extdata/%s.sqlite',libDir,jaspar,jaspar)

con = dbConnect(RSQLite::SQLite(), dbName)

allTables = dbListTables(con)

tables = list()
for(t in allTables)
{
    query = sprintf('select * from %s',t)

    df = dbGetQuery(con,query)
    tables[[t]] = df

    print(sprintf('%s  %d  %d',t,nrow(df),ncol(df)))
}

dbDisconnect(con)

----------------------------------------------

Here is the resulting output:

[1] "MATRIX  0  5"
[1] "MATRIX_ANNOTATION  0  3"
[1] "MATRIX_DATA  0  4"
[1] "MATRIX_PROTEIN  0  2"
[1] "MATRIX_SPECIES  0  2"
[1] "TAX  0  2"
[1] "TAX_EXT  0  2"
[1] "TFFM  133  9"
[1] "sqlite_sequence  0  2"

-----------------------------------------------

And here is the session info:

R version 3.4.3 (2017-11-30)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.4 LTS

Matrix products: default
BLAS: /usr/lib/openblas-base/libblas.so.3
LAPACK: /usr/lib/libopenblasp-r0.2.18.so

locale:
 [1] LC_CTYPE=en_GB.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_GB.UTF-8        LC_COLLATE=en_GB.UTF-8    
 [5] LC_MONETARY=en_GB.UTF-8    LC_MESSAGES=en_GB.UTF-8   
 [7] LC_PAPER=en_GB.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C       

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

other attached packages:
[1] DBI_0.7

loaded via a namespace (and not attached):
 [1] bit_1.1-12      compiler_3.4.3  pillar_1.2.1    tibble_1.4.2   
 [5] memoise_1.1.0   Rcpp_0.12.15    bit64_0.9-7     RSQLite_2.0    
 [9] blob_1.1.0      digest_0.6.15   pkgconfig_2.0.1 rlang_0.2.0   

---------------------------------------------------------------

Any insight would be much appreciated.

jaspar rsqlite • 992 views
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0
Entering edit mode
@james-w-macdonald-5106
Last seen 1 day ago
United States

It seems to work for me:

> library(TFBSTools)
> library(JASPAR2018)
> opts <- list()
opts[["species"]] <- 9606
opts[["name"]] <- "RUNX1"
opts[["type"]] <- "SELEX"
opts[["all_versions"]] <- TRUE
PFMatrixList <- getMatrixSet(JASPAR2018, opts)

> PFMatrixList
PFMatrixList of length 1
names(1): MA0002.1

In addition:

> library(DBI)
> library(RSQLite)
> con <- dbConnect(SQLite(), JASPAR2018@db)

> sapply(dbListTables(con), function(x) dbGetQuery(con, paste("select count(*) from", x, ";")))
$`MATRIX.count(*)`
[1] 2404

$`MATRIX_ANNOTATION.count(*)`
[1] 16485

$`MATRIX_DATA.count(*)`
[1] 122616

$`MATRIX_PROTEIN.count(*)`
[1] 1993

$`MATRIX_SPECIES.count(*)`
[1] 2240

$`TAX.count(*)`
[1] 525711

$`TAX_EXT.count(*)`
[1] 23100

$`TFFM.count(*)`
[1] 133

 

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> sessionInfo()
R version 3.4.3 (2017-11-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 16299)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

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

other attached packages:
[1] RSQLite_2.0          DBI_0.7              JASPAR2018_1.0.0    
[4] TFBSTools_1.16.0     BiocInstaller_1.28.0

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.14                lattice_0.20-35            
 [3] GO.db_3.5.0                 png_0.1-7                  
 [5] Rsamtools_1.30.0            Biostrings_2.46.0          
 [7] gtools_3.5.0                digest_0.6.13              
 [9] R6_2.2.2                    GenomeInfoDb_1.14.0        
[11] plyr_1.8.4                  stats4_3.4.3               
[13] httr_1.3.1                  ggplot2_2.2.1              
[15] zlibbioc_1.24.0             rlang_0.1.4                
[17] lazyeval_0.2.1              annotate_1.56.1            
[19] blob_1.1.0                  S4Vectors_0.16.0           
[21] R.utils_2.6.0               R.oo_1.21.0                
[23] Matrix_1.2-12               splines_3.4.3              
[25] BiocParallel_1.12.0         readr_1.1.1                
[27] stringr_1.2.0               CNEr_1.14.0                
[29] RCurl_1.95-4.8              bit_1.1-12                 
[31] munsell_0.4.3               DelayedArray_0.4.1         
[33] compiler_3.4.3              rtracklayer_1.38.2         
[35] pkgconfig_2.0.1             seqLogo_1.44.0             
[37] BiocGenerics_0.24.0         DirichletMultinomial_1.20.0
[39] SummarizedExperiment_1.8.0  KEGGREST_1.18.0            
[41] tibble_1.3.4                GenomeInfoDbData_1.0.0     
[43] IRanges_2.12.0              matrixStats_0.52.2         
[45] XML_3.98-1.9                TFMPvalue_0.0.6            
[47] GenomicAlignments_1.14.1    bitops_1.0-6               
[49] R.methodsS3_1.7.1           grid_3.4.3                 
[51] xtable_1.8-2                gtable_0.2.0               
[53] magrittr_1.5                scales_0.5.0               
[55] stringi_1.1.6               XVector_0.18.0             
[57] reshape2_1.4.3              tools_3.4.3                
[59] bit64_0.9-7                 BSgenome_1.46.0            
[61] Biobase_2.38.0              poweRlaw_0.70.1            
[63] hms_0.4.0                   parallel_3.4.3             
[65] AnnotationDbi_1.40.0        colorspace_1.3-2           
[67] GenomicRanges_1.30.0        caTools_1.17.1             
[69] memoise_1.1.0               VGAM_1.0-5                
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