kegg_process | 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
.
kegg_pathway_download
kegg_pathways_download
kegg_pathway_list
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>
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