locus_ggplot | R Documentation |
Genomic locus plot similar to locuszoom.
locus_ggplot(
loc,
heights = c(3, 2),
filter_gene_name = NULL,
filter_gene_biotype = NULL,
border = FALSE,
cex.axis = 1,
cex.lab = 1,
cex.text = 0.7,
gene_col = ifelse(showExons, "blue4", "skyblue"),
exon_col = "blue4",
exon_border = "blue4",
showExons = TRUE,
maxrows = 12,
text_pos = "top",
xticks = "top",
xlab = NULL,
highlight = NULL,
highlight_col = "red",
blanks = "fill",
...
)
loc |
Object of class 'locus' to use for plot. See |
heights |
Vector supplying the ratio of top to bottom plot. |
filter_gene_name |
Vector of gene names to display. |
filter_gene_biotype |
Vector of gene biotypes to be filtered. Use
|
border |
Logical whether a bounding box is plotted. |
cex.axis |
Specifies font size for axis numbering. |
cex.lab |
Specifies font size for axis titles. |
cex.text |
Font size for gene text. |
gene_col |
Colour for gene lines. |
exon_col |
Fill colour for exons. |
exon_border |
Border line colour outlining exons (or genes if
|
showExons |
Logical whether to show exons or simply show whole gene as a
rectangle. If |
maxrows |
Specifies maximum number of rows to display in gene annotation panel. |
text_pos |
Character value of either 'top' or 'left' specifying placement of gene name labels. |
xticks |
Logical whether x axis ticks and numbers are plotted. |
xlab |
Title for x axis. Defaults to chromosome |
highlight |
Vector of genes to highlight. |
highlight_col |
Single colour or vector of colours for highlighted genes. |
blanks |
Controls handling of genes with blank names: |
... |
Additional arguments passed to |
Arguments to control plotting of the gene tracks are passed onto
gg_genetracks()
and for the scatter plot are passed via ...
to
gg_scatter()
. See the documentation for each of these functions for
details.
Returns a ggplot2 plot containing a scatter plot with genetracks underneath.
gg_scatter()
gg_genetracks()
if(require(EnsDb.Hsapiens.v75)) {
data(SLE_gwas_sub)
loc <- locus(SLE_gwas_sub, gene = 'IRF5', flank = c(7e4, 2e5), LD = "r2",
ens_db = "EnsDb.Hsapiens.v75")
locus_ggplot(loc)
}
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