GO enrichment analysis and dot plot (None/Exist Reference Genome).
Source:R/go_enrich_dot.R
go_enrich_dot.RdGO enrichment analysis and dot plot (None/Exist Reference Genome).
Usage
go_enrich_dot(
go_anno,
degs_list,
padjust_method = "fdr",
pvalue_cutoff = 0.05,
qvalue_cutoff = 0.05,
sign_by = "p.adjust",
category_num = 30,
font_size = 12,
low_color = "#ff0000aa",
high_color = "#008800aa",
ggTheme = "theme_light"
)Arguments
- go_anno
Dataframe: GO and KEGG annotation of background genes (1st-col: Genes, 2nd-col: biological_process, 3rd-col: cellular_component, 4th-col: molecular_function, 5th-col: kegg_pathway).
- degs_list
Dataframe: degs list.
- padjust_method
Character: P-value adjust to Q-value. Default: "fdr" (false discovery rate), options: "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none".
- pvalue_cutoff
Numeric: P-value cutoff. Recommend: small than 0.05.
- qvalue_cutoff
Numeric: Q-value cutoff. Recommend: small than 0.05.
- sign_by
Character: significant by. Default: "p.adjust", options: "pvalue", "p.adjust", "qvalue".
- category_num
Numeric: categories number to display. Default: 30, min: 1, max: NULL.
- font_size
Numeric: category font size. Default: 12.
- low_color
Character: low value (p-value or q-value) color (color name or hex value).
- high_color
Character: high value (p-value or q-value) color (color name or hex value).
- ggTheme
Character: ggplot2 themes. Default: "theme_light", options: "theme_default", "theme_bw", "theme_gray", "theme_light", "theme_linedraw", "theme_dark", "theme_minimal", "theme_classic", "theme_void"
Examples
# 1. Library TOmicsVis package
library(TOmicsVis)
# 2. Use example dataset
data(gene_go_kegg)
head(gene_go_kegg)
#> Genes
#> 1 FN1
#> 2 14-3-3ZETA
#> 3 A1I3
#> 4 A2M
#> 5 AARS
#> 6 ABAT
#> biological_process
#> 1 GO:0003181(atrioventricular valve morphogenesis);GO:0003128(heart field specification);GO:0001756(somitogenesis)
#> 2 <NA>
#> 3 <NA>
#> 4 <NA>
#> 5 GO:0006419(alanyl-tRNA aminoacylation)
#> 6 GO:0009448(gamma-aminobutyric acid metabolic process)
#> cellular_component
#> 1 GO:0005576(extracellular region)
#> 2 <NA>
#> 3 GO:0005615(extracellular space)
#> 4 GO:0005615(extracellular space)
#> 5 GO:0005737(cytoplasm)
#> 6 <NA>
#> molecular_function
#> 1 <NA>
#> 2 GO:0019904(protein domain specific binding)
#> 3 GO:0004866(endopeptidase inhibitor activity)
#> 4 GO:0004866(endopeptidase inhibitor activity)
#> 5 GO:0004813(alanine-tRNA ligase activity);GO:0005524(ATP binding);GO:0000049(tRNA binding);GO:0008270(zinc ion binding)
#> 6 GO:0003867(4-aminobutyrate transaminase activity);GO:0030170(pyridoxal phosphate binding)
#> kegg_pathway
#> 1 ko04810(Regulation of actin cytoskeleton);ko04510(Focal adhesion);ko04151(PI3K-Akt signaling pathway);ko04512(ECM-receptor interaction)
#> 2 ko04110(Cell cycle);ko04114(Oocyte meiosis);ko04390(Hippo signaling pathway);ko04391(Hippo signaling pathway -fly);ko04013(MAPK signaling pathway - fly);ko04151(PI3K-Akt signaling pathway);ko04212(Longevity regulating pathway - worm)
#> 3 ko04610(Complement and coagulation cascades)
#> 4 ko04610(Complement and coagulation cascades)
#> 5 ko00970(Aminoacyl-tRNA biosynthesis)
#> 6 ko00250(Alanine, aspartate and glutamate metabolism);ko00280(Valine, leucine and isoleucine degradation);ko00650(Butanoate metabolism);ko00640(Propanoate metabolism);ko00410(beta-Alanine metabolism);ko04727(GABAergic synapse)
# 3. Default parameters
go_enrich_dot(gene_go_kegg[,-5], gene_go_kegg[100:200,1])
#> Warning: Expected 2 pieces. Additional pieces discarded in 82 rows [714, 928, 1523,
#> 1543, 2042, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2200, 2202, 2203, 2205,
#> 2206, 2207, 2208, 2552, ...].
#> Scale for colour is already present.
#> Adding another scale for colour, which will replace the existing scale.
# 4. Set padjust_method = "BH"
go_enrich_dot(gene_go_kegg[,-5], gene_go_kegg[100:200,1], padjust_method = "BH")
#> Warning: Expected 2 pieces. Additional pieces discarded in 82 rows [714, 928, 1523,
#> 1543, 2042, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2200, 2202, 2203, 2205,
#> 2206, 2207, 2208, 2552, ...].
#> Scale for colour is already present.
#> Adding another scale for colour, which will replace the existing scale.
# 5. Set category_num = 10
go_enrich_dot(gene_go_kegg[,-5], gene_go_kegg[100:200,1], category_num = 10)
#> Warning: Expected 2 pieces. Additional pieces discarded in 82 rows [714, 928, 1523,
#> 1543, 2042, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2200, 2202, 2203, 2205,
#> 2206, 2207, 2208, 2552, ...].
#> Scale for colour is already present.
#> Adding another scale for colour, which will replace the existing scale.
# 6. Set ggTheme = "theme_bw"
go_enrich_dot(gene_go_kegg[,-5], gene_go_kegg[100:200,1], ggTheme = "theme_bw")
#> Warning: Expected 2 pieces. Additional pieces discarded in 82 rows [714, 928, 1523,
#> 1543, 2042, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2200, 2202, 2203, 2205,
#> 2206, 2207, 2208, 2552, ...].
#> Scale for colour is already present.
#> Adding another scale for colour, which will replace the existing scale.
