Last data update: 2014.03.03

R: A heatmap plot of the dissimilarity matrix of two multiple...
plot_dissimilarity_matrixR Documentation

A heatmap plot of the dissimilarity matrix of two multiple sequence alignments

Description

A heatmap plot of the dissimilarity matrix of two multiple sequence alignments

Usage

plot_dissimilarity_matrix(x, display = TRUE)

Arguments

x

an object of type "pairwise alignment comparison" (typically the summary file generated by compare_alignments)

display

display this plot (default = TRUE)

Note

This function displays the dissimilarity categories for all characters in the reference alignment. This gives a representation of which columns are well agreed upon by the MSAs, and which sequence regions of the reference alignment are split, merged, or shifted.

Examples

data(reference_alignment)
data(comparison_alignment)
PAC <- compare_alignments(reference_alignment,comparison_alignment)
plot_dissimilarity_matrix(PAC)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(AlignStat)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/AlignStat/plot_dissimilarity_matrix.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot_dissimilarity_matrix
> ### Title: A heatmap plot of the dissimilarity matrix of two multiple
> ###   sequence alignments
> ### Aliases: plot_dissimilarity_matrix
> 
> ### ** Examples
> 
> data(reference_alignment)
> data(comparison_alignment)
> PAC <- compare_alignments(reference_alignment,comparison_alignment)
> plot_dissimilarity_matrix(PAC)
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>