Dear Bioconductor group: A few minutes ago, we downloaded and installed the annotation package for hgu133a to ensure that we have the latest version. Thank you for providing the PubMed identifiers. We notice a redundancy for the following example: > library(annotate) > library("hgu133a") > get("216572_at", env=hgu133aPMID) [1] "95045392" "20530220" "11078474" "7957066" When we go to PubMed, and type in the above identifiers, we find that 95045392 is the same document as 7957066, and 20530220 is the same document as 11078474. If we choose the display format as XML, the tag <articleidlist> shows that the first two identifiers above are medline IDs and the last two are PubMed IDs. As we would like to further analyze documents in batch mode, could you kindly look at the possibility of removing this redundancy? Best regards, Lynn Young

> > library(annotate) > > library("hgu133a") > > get("216572_at", env=hgu133aPMID) >[1] "95045392" "20530220" "11078474" "7957066" These numbers are what LocusLink gives in the LL_tmpl.gz file for PubMed ids. >As we would like to further analyze documents in batch mode, could you >kindly look at the possibility of removing this redundancy? Since no differentiation was made between MedLine and PubMed IDs in the source file we use to build the annotation package, there is no way for us to separate the two. I will contact LocusLink about this to see what they can do. Thank you for reporting. > >Best regards, >Lynn Young > >_______________________________________________ >Bioconductor mailing list >Bioconductor@stat.math.ethz.ch >https://stat.ethz.ch/mailman/listinfo/bioconductor Jianhua Zhang Department of Biostatistics Dana-Farber Cancer Institute 44 Binney Street Boston, MA 02115-6084