kegg_process {OmnipathR} | R Documentation |
Processes KEGG Pathways data extracted from a KGML file. Joins the entries and relations into a single data frame and translates the Gene Symbols to UniProt IDs.
kegg_process(entries, relations, max_expansion = NULL, simplify = FALSE)
entries |
A data frames with entries extracted from a KGML
file by |
relations |
A data frames with relations extracted from a KGML
file by |
max_expansion |
Numeric: the maximum number of relations
derived from a single relation record. As one entry might represent
more than one molecular entities, one relation might yield a large
number of relations in the processing. This happens in a combinatorial
way, e.g. if the two entries represent 3 and 4 entities, that results
12 relations. If |
simplify |
Logical: remove KEGG's internal identifiers and the pathway annotations, keep only unique interactions with direction and effect sign. |
A data frame (tibble) of interactions. In rare cases when a
pathway doesn't contain any relation, returns NULL
.
hsa04350 <- kegg_pathway_download('hsa04350', process = FALSE) tgf_pathway <- kegg_process(hsa04350$entries, hsa04350$relations) tgf_pathway # # A tibble: 50 x 12 # source target type effect arrow relation_id kegg_id_source # <chr> <chr> <chr> <chr> <chr> <chr> <chr> # 1 51 49 PPrel activ. --> hsa04350:1 hsa:7040 hsa:. # 2 57 55 PPrel activ. --> hsa04350:2 hsa:151449 hs. # 3 34 32 PPrel activ. --> hsa04350:3 hsa:3624 hsa:. # 4 20 17 PPrel activ. --> hsa04350:4 hsa:4838 # 5 60 46 PPrel activ. --> hsa04350:5 hsa:4086 hsa:. # # . with 45 more rows, and 5 more variables: genesymbol_source <chr>, # # uniprot_source <chr>, kegg_id_target <chr>, # # genesymbol_target <chr>, uniprot_target <chr>