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chemodiv
is an R package for analysing chemodiversity of
phytochemical data
The package can be used to calculate various types of diversities and dissimilarities for phytochemical datasets. This includes the use of diversity indices and dissimilarity indices that incorporate the biosynthetic and/or structural properties of the phytochemical compounds for the calculations, resulting in comprehensive measures of phytochemical diversity. A complete description of the package is available in Petrén et al. 2023.
The current version of the package can be installed from CRAN.
Alternatively, the developmental version of the package can be installed
from GitHub. The chemodiv
package partly depends on
packages from Bioconductor. Therefore, it is recommended to install the
package via the install()
function in the
BiocManager
package, rather than using the default
install.packages("chemodiv")
. This will ensure all
dependencies are correctly installed as well.
Install current version from CRAN
install.packages("BiocManager") # Install BiocManager if not already installed
library("BiocManager")
::install("chemodiv") BiocManager
Install the developmental version from GitHub
install.packages("devtools") # Install devtools if not already installed
library("devtools")
install_github("hpetren/chemodiv")
Detailed usage notes can be found with help(chemodiv)
and in the documentation for each function. See the vignette for a
worked example. In short, two datasets are required. First, a dataset on
the relative relative abundance/concentration (i.e. proportion) of
different phytochemical compounds in different samples. Second, a
dataset with the compound name, SMILES and InChIKey for all the
compounds in the first dataset. The following functions can then be
used:
Function chemoDivCheck()
checks so that the datasets
used by functions in the package are correctly formatted.
Function NPCTable()
uses the deep-learning tool
NPClassifier to classify chemical compounds into groups largely
corresponding to biosynthetic pathways. The function
compDis()
calculates and outputs a list of dissimilarity
matrices with pairwise dissimilarities between chemical compounds, based
on their biosynthetic and/or structural properties.
Functions calcDiv()
, calcBetaDiv()
and
calcDivProf()
are used to calculate phytochemical diversity
in different ways, using both traditional indices and Hill numbers.
calcDiv()
calculates alpha diversity and evenness.
calcBetaDiv()
calculates beta diversity.
calcDivProf()
generates diversity profiles. Calculations of
functional Hill numbers utilize a dissimilarity matrix generated by the
compDis()
function.
Function sampDis()
is used to calculate Generalized
UniFrac dissimilarities or Bray-Curtis dissimilarities between samples.
Calculations of Generalized UniFrac dissimilarities utilizes
dissimilarity matrix generated by the compDis()
function.
Function molNet()
creates a molecular network of the
chemical compounds and calculates some network properties using matrices
generated by the compDis()
function.
molNetPlot()
and chemoDivPlot()
are used to
conveniently create basic plots of the molecular network and different
types phytochemical diversity and dissimilarity calculated by the other
functions in the package.
Function quickChemoDiv()
uses many of the other
functions in the package to in one simple step calculate and visualize
chemodiversity for users wanting to quickly explore their data using
standard parameters.
Petrén H., T.G. Köllner and R.R. Junker. 2023. Quantifying chemodiversity considering biochemical and structural properties of compounds with the R package chemodiv. New Phytologist 237: 2478-2492.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.