\name{hgu95av2GO} \alias{hgu95av2GO} \title{Map between Manufacturer IDs and Gene Ontology (GO)} \description{ hgu95av2GO is an R environment that provides mappings between manufacturer identifiers and the GO identifiers that they are directly associated with. } \details{ Each Entrez Gene identifier is mapped to a list of lists. The names on the outer list are GO identifiers. Each inner list consists of three named elements: GOID, Ontology, and Evidence. The GOID element matches the GO identifier named in the outer list and is included for convenience when processing the data using 'lapply'. The Ontology element indicates which of the three Gene Ontology categories this identifier belongs to. The categories are biological process (BP), cellular component (CC), and molecular function (MF). The Evidence element contains a code indicating what kind of evidence supports the association of the GO identifier to the Entrez Gene id. The evidence codes in use include: IMP: inferred from mutant phenotype IGI: inferred from genetic interaction IPI: inferred from physical interaction ISS: inferred from sequence similarity IDA: inferred from direct assay IEP: inferred from expression pattern IEA: inferred from electronic annotation TAS: traceable author statement NAS: non-traceable author statement ND: no biological data available IC: inferred by curator Mappings between probe identifiers and GO information were obtained through their mappings to Entrez Gene identifiers. NAs are assigned to probe identifiers that can not be mapped to any Gene Ontology information. Mappings between Gene Ontology identifiers an Gene Ontology terms and other information are available in a separate data package named GO. Mappings were based on data provided by: Entrez Gene:\\url{ftp://ftp.ncbi.nlm.nih.gov/gene/DATA/}. Built: Source data downloaded from Entrez Gene on Thu Mar 15 20:55:24 2007 Gene Ontology:\\url{http://archive.godatabase.org/latest/}. Built: 08-Feb-2007 Package built Thu Mar 15 21:19:18 2007 } \examples{ # Convert to a list xx <- as.list(hgu95av2GO) # Remove all the NAs xx <- xx[!is.na(xx)] if(length(xx) > 0){ # Try the firest one got <- xx[[1]] got[[1]][["GOID"]] got[[1]][["Ontology"]] got[[1]][["Evidence"]] } } \keyword{datasets}