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sitePath

Phylogeny-based sequence clustering with site polymorphism

Bioconductor version: Release (3.17)

Using site polymorphism is one of the ways to cluster DNA/protein sequences but it is possible for the sequences with the same polymorphism on a single site to be genetically distant. This package is aimed at clustering sequences using site polymorphism and their corresponding phylogenetic trees. By considering their location on the tree, only the structurally adjacent sequences will be clustered. However, the adjacent sequences may not necessarily have the same polymorphism. So a branch-and-bound like algorithm is used to minimize the entropy representing the purity of site polymorphism of each cluster.

Author: Chengyang Ji [aut, cre, cph] , Hangyu Zhou [ths], Aiping Wu [ths]

Maintainer: Chengyang Ji <chengyang.ji12 at alumni.xjtlu.edu.cn>

Citation (from within R, enter citation("sitePath")):

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("sitePath")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("sitePath")
An introduction to sitePath HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Alignment, MultipleSequenceAlignment, Phylogenetics, SNP, Software
Version 1.16.0
In Bioconductor since BioC 3.9 (R-3.6) (4.5 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports RColorBrewer, Rcpp, ape, aplot, ggplot2, ggrepel, ggtree, graphics, grDevices, gridExtra, methods, parallel, seqinr, stats, tidytree, utils
Linking To Rcpp
Suggests BiocStyle, devtools, knitr, magick, rmarkdown, testthat
System Requirements
Enhances
URL https://wuaipinglab.github.io/sitePath/
Bug Reports https://github.com/wuaipinglab/sitePath/issues
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package sitePath_1.16.0.tar.gz
Windows Binary sitePath_1.16.0.zip (64-bit only)
macOS Binary (x86_64) sitePath_1.16.0.tgz
macOS Binary (arm64) sitePath_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/sitePath
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/sitePath
Bioc Package Browser https://code.bioconductor.org/browse/sitePath/
Package Short Url https://bioconductor.org/packages/sitePath/
Package Downloads Report Download Stats