LifemapR
An R package to visualise data on a Lifemap base (https://lifemap-ncbi.univ-lyon1.fr/)
Installation
To install the development version of LifemapR from GitHub :
remotes::install_github("damiendevienne/LifemapR")
Once installed, load the package with :
require("LifemapR")
Usage
Here is a brief introduction on how to use LifemapR.
- With the
build_Lifemap
function transform your already existing data into a format usable by LifemapR functions
data(eukaryotes_1000)
# Construction of a LifemapR usable dataframe
LM_obj <- LifemapR::build_Lifemap(eukaryotes_1000)
After the build_Lifemap
function the result is a LifemapR format containing a dataframe :
full_df <- LM_obj$df
- Then you can display a map with wanted informations by calling one ore more
LifemapR
functions. Note that with theLifemapR
functions, ashiny
application will be launched
# Initialise a visualisation for LM_obj
lifemap(LM_obj) +
# adding a subtree with colored branches
LifemapR::lm_branches(var_col = "Protein", FUN = mean, col = "PiYG")+
# adding a set of points
LifemapR::lm_markers(radius = "GC.", var_fillColor = "Genes", FUN = mean)
Development
To do list :
New protocole to fetch data with improved databases (parquet format)
Improve create_matrix() to use less CPU (merge before joining all lists)
Improve make_newick() to make it recursive
Improve the shiny application version
Redo pass_info function to only infer unknown values and only from the value of direct ancestors
Implement popups and labels for markers
Implement popups and labels for polylines
Black background on leaflet
Repair the size legend
Option to thicker the line depending on a variable
Improve create_matrix function to pass check
How to use during development
Go to the package's folder
require(devtools)
devtools::load_all()
then you can simply use the package's functions