plot_binding_positions: Plot binding regions
In ilia-kats/RiboSeqTools: Tools for analysis of selective ribosome profiling (SeRP) data
Description
Usage
Arguments
Value
See Also
Description
Plots chaperone binding regions in a heat map. Color intensity is proportional to the fraction of replicates
in which binding at the respective position was observed.
Usage
1
plot_binding_positions(df, bgcolor = "lightgrey", ylabels = NA, lowconf = 0.2)
Arguments
df
A data frame created by get_binding_positions or get_binding_positions_by_threshold.
bgcolor
Background color to visualize unbound regions.
ylabels
Whether to show Y axis labels (gene names). Defaults to suppressing Y axis labels if more than
10 genes are plotted.
lowconf
If df was created by get_binding_positions_by_threshold, this
determines the color intensity of the low-confidence regions.
Value
A ggplot object.
See Also
fit_background_model, test_binding, get_binding_positions, get_binding_positions_by_threshold
ilia-kats/RiboSeqTools documentation built on Oct. 5, 2020, 7:41 p.m.
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Description Usage Arguments Value See Also
Description
Plots chaperone binding regions in a heat map. Color intensity is proportional to the fraction of replicates in which binding at the respective position was observed.
Usage
1 | plot_binding_positions(df, bgcolor = "lightgrey", ylabels = NA, lowconf = 0.2)
|
Arguments
df |
A data frame created by |
bgcolor |
Background color to visualize unbound regions. |
ylabels |
Whether to show Y axis labels (gene names). Defaults to suppressing Y axis labels if more than 10 genes are plotted. |
lowconf |
If |
Value
A ggplot object.
See Also
fit_background_model, test_binding, get_binding_positions, get_binding_positions_by_threshold
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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