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rKOMICS (version 1.3)

Minicircle Sequence Classes (MSC) Analyses

Description

This is a analysis toolkit to streamline the analyses of minicircle sequence diversity in population-scale genome projects. rKOMICS is a user-friendly R package that has simple installation requirements and that is applicable to all 27 trypanosomatid genera. Once minicircle sequence alignments are generated, rKOMICS allows to examine, summarize and visualize minicircle sequence diversity within and between samples through the analyses of minicircle sequence clusters. We showcase the functionalities of the (r)KOMICS tool suite using a whole-genome sequencing dataset from a recently published study on the history of diversification of the Leishmania braziliensis species complex in Peru. Analyses of population diversity and structure highlighted differences in minicircle sequence richness and composition between Leishmania subspecies, and between subpopulations within subspecies. The rKOMICS package establishes a critical framework to manipulate, explore and extract biologically relevant information from mitochondrial minicircle assemblies in tens to hundreds of samples simultaneously and efficiently. This should facilitate research that aims to develop new molecular markers for identifying species-specific minicircles, or to study the ancestry of parasites for complementary insights into their evolutionary history. ***** !! WARNING: this package relies on dependencies from Bioconductor. For Mac users, this can generate errors when installing rKOMICS. Install Bioconductor and ComplexHeatmap at advance: install.packages("BiocManager"); BiocManager::install("ComplexHeatmap") *****.

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Version

Install

install.packages('rKOMICS')

Monthly Downloads

218

Version

1.3

License

GPL

Maintainer

Manon Geerts

Last Published

June 29th, 2023

Functions in rKOMICS (1.3)

read.uc

Read in uc files
rKOMICS

tools:::Rd_package_title("rKOMICS")
msc.subset

Specific Minicircle Sequence Classes
msc.depth

Check the read depth of assembled minicircles
msc.quality

Check the quality of the assembly
msc.pca

Prinicple Component Analysis based on MSC
exData

Example dataset
msc.matrix

Build cluster matrix
msc.length

Length of minicircles
msc.richness

Minicircle Sequence Cluster richness
msc.heatmap

Visualization of cluster matrices
msc.seqs

Retrieve sequences
msc.uc

Cluster Analyses
preprocess

Filtering of minicircle sequences
matrices

Example cluster matrices
%>%

Pipe operator
msc.similarity

Minicircle Sequence Classes similarity