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phyclust (version 0.1-11)

Phylogenetic Clustering (Phyloclustering)

Description

Phylogenetic clustering (phyloclustering) is an evolutionary Continuous Time Markov Chain model-based approach to identify population structure from molecular data without assuming linkage equilibrium. The package phyclust (Chen 2011) provides a convenient implementation of phyloclustering for DNA and SNP data, capable of clustering individuals into subpopulations and identifying molecular sequences representative of those subpopulations. It is designed in C for performance, interfaced with R for visualization, and incorporates other popular open source programs including ms (Hudson 2002), seq-gen (Rambaut and Grassly 1997), Hap-Clustering (Tzeng 2005) and PAML baseml (Yang 1997, 2007), for simulating data, additional analyses, and searching the best tree. See the phyclust website for more information, documentations and examples.

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Version

Install

install.packages('phyclust')

Monthly Downloads

1,814

Version

0.1-11

License

GPL (>= 2)

Maintainer

WeiChen Chen

Last Published

March 11th, 2012

Functions in phyclust (0.1-11)

.label.method

Label Method
gen.star.tree

Generate a Rooted Tree with a Star Shape
as.star.tree

Coerce a Rooted Tree to a Star Tree in Class phylo
find.consensus

Find the Consensus Sequence
phyclust.logL

Log-Likelihood of phyclust
.substitution

Substitution Models for Mutation Processes
prune.Mu

Prune the Center Sequences Mu
ms

Generating Samples under a Wright-Fisher Neutral Model of Genetic Variation
getcut.fun

Tzeng's Method: Finding the Best Number of Clusters
phyclust-package

Phyloclustering -- Phylogenetic Clustering
gen.seq

Generate Sequences Given a Rooted Tree.
.EMControl

EM Control Generator
all.internal.tzeng

All Internal Functions of Tzeng's Methods
gen.equal.star.anc.dec

Generate Comprehensive Trees.
read.seqgen

Read seqgen's Results and Return a seq.data
find.best

Find the Best Solution of phyclust
all.internal

All Internal Functions of phyclust
phyclust.edist

Evolution Distance of Sequences
code2nid

Transfer Codes (A, G, C, T, -) and nids (0, 1, 2, 3, 4)
plotnj

Plot an Unrooted Trees.
plotdots

Dots Plots of Sequences for Visual Comparisons
seqgen

Seq-Gen
print.object

Functions for Printing or Summarizing Objects According to Classes
.code.type

Code Types of Dataset and Substitution Models
nid.aid.cid

Transfer nids (0, 1, ..., 4) , aids (0, 1, ..., 21) and cids (0, 1, ..., 64)
paml.baseml

Phylogenetic Analysis by Maximum Likelihood for Nucleotide Sequences
file.read

Read Data from Files by Formats and Return a seq.data Object
.se.model

Sequencing Error Model
.init.method

Initialization Methods for EM Algorithms
get.rooted.tree.height

Get a Rooted Tree Height
data.fasta.pony

Great Pony 625 EIAV rev Dataset in the Fasta Format
phyclust.e.step

One E-Step of phyclust
seq.data

A Toy Dataset in Class seq.data
data.phylip.crohn

Crohn's Disease SNP Dataset in the phylip Format
phyclust.Pt

Transition Probabilities of phyclust Given Time
gen.unit.K

Generate Comprehensive Trees.
bootstrap.star.trees.seq

Bootstrap Sequences from a Fitted Model.
haplo.post.prob

Tzeng's Method: Haplotype Grouping for SNP Sequences
bootstrap.star.trees

Bootstrap a Star Tree from a Fitted Model.
data.phylip.pony

Great Pony 524 EIAV rev Dataset in the phylip Format
plotgaps

Gaps Plots of Sequences for Visual Comparisons
plothist

Plot Histogram to Compare Number of Mutations.
bootstrap.seq

Bootstrap Sequences from a Fitted Model and Star Tree.
phyclust

The Main Function of phyclust
plotstruct

Struct Plots of Observations Based on Posterior Probabilities
.init.procedure

Initialization Procedures for EM Algorithms
.edist.model

Evolution Distance Model
code2snp

Transfer Nucleotide Codes / nids and SNPs / sids
standard.code

Standard Codes and ids for Nucleotides, SNPs, Codon, Amino Acid and Genetic Code
phyclust.m.step

One M-Step of phyclust
.EMC

EM Control
bootstrap.seq.data

Bootstrap a seq.data from a Fitted Model.
file.write

Write Data to Files by Formats
phyclust.se

The Main Function of phyclust for Sequencing Error Models
.Color

Colors for Identifying Clusters in Plots
phyclust.em.step

One EM-step of phyclust
.em.method

EM Methods and Algorithms
RRand

Rand Index and Adjusted Rand Index
.identifier

Identifiers for Evolution Models
rescale.rooted.tree

Rescale a Rooted Tree's Height
phyclust.se.update

Update phyclust Results by the Sequencing Error Model
.boundary.method

Boundary Methods for Population Proportions
snp2sid

Transfer SNP codes (1, 2, -) and sids (0, 1, 2)
.show.option

Show Available Options