View source: R/cmd_batch_rnaseq_GO_KEGG.R
RNASeqGoKegg_CMD | R Documentation |
Run Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG)
analysis in background.
This function do Gene Ontology(GO) and Kyoto Encyclopedia of Genes and
Genomes(KEGG) analysis :
Gene Ontology(GO) :
Do GO function classification analysis.
Do GO function enrichment analysis.
Visualization : bar plot, dot plot etc.
Kyoto Encyclopedia of Genes and Genomes(KEGG) :
Do KEGG pathway enrichment analysis
Pathway visulization with pathview
package. KEGG webpage
pathway url will also be created
If you want to do GO functional analysis and KEGG pathway analysis for the
following RNA-Seq workflow in R shell,
please see RNASeqGoKegg()
function.
RNASeqGoKegg_CMD(RNASeqRParam, OrgDb.species, go.level = 3, input.TYPE.ID, KEGG.organism, run = TRUE, check.s4.print = TRUE)
RNASeqRParam |
S4 object instance of experiment-related parameters |
OrgDb.species |
the genome wide annotation packages of species on Bioconductor. Currently, there are 19 supported genome wide annotation packages of species. |
go.level |
the depth of acyclic graph in GO analysis |
input.TYPE.ID |
The gene name type in OrgDb.species annotation packahge. |
KEGG.organism |
the species that are supported for KEGG analysis. Currently, there are more than 5000 supported species genome. Check the valid species terms on https://www.genome.jp/kegg/catalog/org_list.html |
run |
Default value is |
check.s4.print |
Default |
None
Kuan-Hao Chao
data(yeast) ## Not run: RNASeqGoKegg_CMD(RNASeqRParam = yeast, OrgDb.species = "org.Sc.sgd.db", go.level = 3, input.TYPE.ID = "GENENAME", KEGG.organism = "sce") ## End(Not run)
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