hgu95av2GO package:hgu95av2 R Documentation
_M_a_p _b_e_t_w_e_e_n _M_a_n_u_f_a_c_t_u_r_e_r _I_D_s _a_n_d _G_e_n_e _O_n_t_o_l_o_g_y (_G_O)
_D_e_s_c_r_i_p_t_i_o_n:
hgu95av2GO is an R environment that provides mappings between
manufacturer identifiers and the GO identifiers that they are
directly associated with.
_D_e_t_a_i_l_s:
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:. Built:
Source data downloaded from Entrez Gene on Mon Sep 25 20:44:56
2006
Gene Ontology:. Built:
08-Aug-2006
Package built Mon Sep 25 21:08:05 2006
_E_x_a_m_p_l_e_s:
# 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"]]
}