[Bioc-devel] keys function of org.Pf.plasmo.db gives an error.
Ok I spoke a little too quickly earlier. Looking back, there should indeed be a field from columns() called 'ORF' and it is basically used here as the central gene ID for this single package. But the code for keys (and columns) was getting this 'ORF' conflated with the other 'ORF' used in resources from SGD (which this has nothing to do with since the data all comes from plasmoDB). Anyhow, I have fixed the software bugs and pushed a patch to release and devel. It should be up in about a day. Marc
On 03/18/2015 10:23 AM, Marc Carlson wrote:
Hi Paolo, The ORF type has never been available for that package. This is a bug in the columns method (which I will now fix). Thanks for reporting it. Marc On 03/18/2015 03:00 AM, Paolo Martini wrote:
Dear Bioconductor, I am working with the annotation package "org.Pf.plasmo.db". I tried to get the keys from the "ORF" column.
library(org.Pf.plasmo.db) columns(org.Pf.plasmo.db)
[1] "ORF" "ENZYME" "PATH" "SYMBOL" "GENENAME" [6] "GO" "EVIDENCE" "ONTOLOGY" "GOALL" "EVIDENCEALL" [11] "ONTOLOGYALL" "ALIAS2ORF"
keys(org.Pf.plasmo.db, "ORF")
Error in sqliteSendQuery(con, statement, bind.data) : error in statement: no such table: sgd I tried both stable and devel version but neither the stable nor the devel seemed to work. To my knowledge sgd is related to S. cerevisiae. Is the "ORF" keytype availble for Malaria? Thanks a lot.
sessionInfo()
R Under development (unstable) (2015-03-16 r67994) Platform: x86_64-unknown-linux-gnu (64-bit) Running under: Ubuntu 14.10 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] parallel stats4 stats graphics grDevices utils datasets [8] methods base other attached packages: [1] org.Pf.plasmo.db_3.1.0 RSQLite_1.0.0 DBI_0.3.1 [4] AnnotationDbi_1.29.17 GenomeInfoDb_1.3.13 IRanges_2.1.43 [7] S4Vectors_0.5.22 Biobase_2.27.2 BiocGenerics_0.13.6
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