sitePath

DOI: 10.18129/B9.bioc.sitePath    

Phylogeny-based sequence clustering with site polymorphism

Bioconductor version: Release (3.14)

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 "4.1") 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")

 

HTML R Script An introduction to sitePath
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Alignment, MultipleSequenceAlignment, Phylogenetics, SNP, Software
Version 1.10.2
In Bioconductor since BioC 3.9 (R-3.6) (3 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
LinkingTo Rcpp
Suggests BiocStyle, devtools, knitr, magick, rmarkdown, testthat
SystemRequirements
Enhances
URL https://wuaipinglab.github.io/sitePath/
BugReports https://github.com/wuaipinglab/sitePath/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package sitePath_1.10.2.tar.gz
Windows Binary sitePath_1.10.2.zip (32- & 64-bit)
macOS 10.13 (High Sierra) sitePath_1.10.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/sitePath
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/sitePath
Package Short Url https://bioconductor.org/packages/sitePath/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.14 Source Archive

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