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Mesquite Home Page
Overview of Mesquite
What Mesquite Does
List of Features
Recent Changes
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Additional Packages
Beginning Mesquite
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Basics
Files
Menus
Windows
Charts
Selection
Modules
Simplifying Mesquite
Objects
Characters
Taxa
Trees
Analyses
Character Evolution
Diversification
Molecular Data
Gene Trees
Simulations & Randomizations
Continuous Characters
Studies of Tree Topology
Workflows
Managing Molecular Data
Managing Continuous Data
Interactions with other programs
Getting Help
Learning Mesquite
Bugs & Troubleshooting
Getting Help
Your Suggestions
Glossary
FAQ
Technical Details
How Mesquite Works
Scripts & Macros
Source Code
Developer's Documentation
History
History of Mesquite
Why Mesquite?
New Features & Bug List
Release Dates
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Documenting your work
Citing Mesquite
Publishing results
Acknowledgements
Mesquite's Features
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List of Features
Below is a brief outline of Mesquite features. Many of the links within the outline take you to screenshots, some of which show older versions of Mesquite. To see features recently added to Mesquite, see the manual page on
new features
.
Overview
Analyses
Characters
Taxa
Trees
Other features
Overview
Primary entities are taxa (which may represent species, genes, samples, and so on), characters (features or variables), and trees.
Files may contain:Files may be linked into projects
Multiple matrices
Multiple taxa blocks
Multiple blocks of trees
Multiple files may be open simultaneously
Analyses
Ancestral state reconstruction —
manual page
.
Methods
Parsimony
Categorical & sequence data
Unordered
Ordered
Stepmatrices
Continuous data
Linear
Squared change (least squares)
Likelihood
Mk1 (one parameter) model for categorical data
Asymmetrical (2 parameter) model for categorical data
Display modes
Trace single character
Summary of all characters
Summary of a character's
reconstruction over a series of trees
Processes of Character Evolution —
manual page
Estimating parameters of categorical characters
Estimate rate in one-parameter Mk1 model
Estimate bias of rates of gain versus loss in 2-parameter model
Comparative method/character correlation
Mirror Tree
and
Plot Tree
visualizations
Pairwise comparisons
for categorical data
Felsenstein's contrasts
for continuous data (with
PDAP
package)
Processes of Diversification —
manual page
Simulations of birth/death process
Lineage through time plots
Likelihood inference of a character's effect on speciation/extinction rates
Population Genetics & phylogeography —
manual page
Gene trees can be embedded within population histories or species trees
Fit can be displayed
graphically
Deep coalescences and Slatkin & Maddison's s assess fit of gene tree into species tree
Coalescence simulations
of gene trees
within population histories
to derive statistical expectations
Population histories can include
changes in population size
,
divergences, time
Simulations and Randomizations —
manual page
Parametric bootstrapping to
test monophyly
,
explore long branch attraction
, and so on
"
Batch Architect
" constructs repetitive analyses communicating with programs such as PAUP
See under
Characters
and
Trees
for discussion of simulation and randomization options
Continuous valued characters
Mapping tree
into
2D
or
3D space
Simulations
and ancestral state reconstructions
Multivariate analyses
Principle Components Analysis
Canonical Variates Analysis
Among-group PCA
Within-group PCA
Evolutionary PCA (similar to
PCA
but
tree-based
)
Geometric morphometrics
Reconstruction of
ancestral landmarks
Tree comparison
Tree similarity/dissimilarity indices
Shared partitions
Patristic distance correlation
Robinson-Foulds metric, unweighted or weighted (in
TSV
)
Host/parasite, gene/species and other contained/containing trees can be compared by deep coalescences, Slatkin and Maddison's s
Visualizations of tree space (with
TSV
)
Instability of terminal taxa among trees
Tree reconstruction
Tree search
Any statistic for tree can be basis of search including treelength and fit of gene trees into species trees
SPR, NNI search with single as-is sequence (slow compared to PAUP & NONA)
Cluster analysis
Distances
Uncorrected distances
Distances among contained taxa (e.g., for species trees based on distances among contained genes)
Algorithms yield multiple trees in case of ties
UPGMA
Single Linkage
Creation of MRP (Matrix Representation with Parsimony) matrices from trees for use in constructing supertrees
Other statistics: see under
Characters
and
Trees
Charts for character, taxa, trees and nodes summarize calculations results
Bars and points can be
colored
to show the category of the objects
Scatterplot points can be
colored for third dimension
Scatterplot can be used to show statistics in the context of
protein structure
Characters
Multiple matrices
in each file
Formats
supported
Categorical characters
up to 56 states
DNA sequences
Protein sequences
Continuous valued characters
multiple items in each matrix cell
Characters used in calculations can come from:
Matrices stored in files & edited by user
Simulationsof character evolution on a current tree
Simulated DNA sequence evolution
Subsitution models
Jukes Cantor
Transition/transversion bias (HKY85)
General Time Reversible
Base frequencies
Equal
Empirical
Specified
Rate variation
None
Gamma, with or without proportion invariant
By codon positions
Simulated Categorical character evolution
Mk1 model (one parameter, symmetrical gain/loss)
Asymm Mk Model (two parameters, bias in gain versus loss)
Simulated Continuous character evolution
Brownian motion model
Randomizations and other transformations of matrices
Bootstrap resampling
Reshuffling states among taxa
Rarefaction by characters (randomly deleting characters)
Rarefaction by cells (randomly changing cells to missing data)
Spreadsheet data editor for character matrices
Edit character states
Add, delete characters
Search for cell contents or footnotes
Simple Footnotes
to characters, taxa, cells of the matrix, character states
Multiple Annotations (including comments, images, references) can be attached to each character, taxon, and cell of matrix
Characters can be sorted by many criteria
Character selection
selection
in one context (e.g. a data editor) is respected in others (e.g., a scatterplot)
magic wand to select characters by similar names or properties
select characters with probability p
select n characters randomly
select variable characters
select characters by partition
BLAST searches:
search for matches to selected region
import into matrix top BLAST matches
Display options
Color cells or text in cells by
state
(e.g., different colors for ACGT)
amino acid into which the codon would be translated
value of a statistic (e.g.,
amino acid hydrophobicity
;
moving window of AT bias
)
whether footnote is present
colors assigned by user
Character state names with categorical data
Transformations & editing
Categorical
Fill (paint bucket)
Random fill
Recode
Reverse sequence
DNA/Protein sequence
Reverse complement
Alignment:
manual alignment tools allow you to move blocks of the sequence by hand
automated pairwise alignment tool
send selected block of matrix to Clustal, MAFFT, or Opal and incorporate the aligned result
Continuous
Fill (paint bucket)
Standardize
Random fill (with mean and variance)
Add random noise
Log transform
Add constant; multiply constant
Utilities to:
Concatenate matrices
Compare matrices
Distances
Jukes-Cantor, Felsenstein 81, Kimura 2-Parameter, Felsenstein 84 distances
Great Circle distances in the separately-released Cartographer package
Auxiliary information stored with characters
weights
parsimony model
(unordered, ordered, etc.)
probability model (Mk1, Jukes Cantor, etc.)
inclusion/exclusion
partitions
Statistics for characters
Can be viewed in bar charts,
scattergrams
and list window
Options include:
Values with trees
likelihood
parsimony steps
Likelihood-estimated parameters of character evolution
Percent missing (unassigned)
Percent gaps (inapplicable)
Percent polymorphic
Amino acid size and
hydrophobicity
Compositional bias
(GC/AT bias)
Taxa
Multiple taxa blocks allowed
Taxa blocks can be associated (e.g., genes in species)
Selection
Selection in one context (e.g. a data editor) is respected in others (e.g., a scatterplot)
Magic wand to select taxa by similar names or properties
Statistics for taxa
Can be viewed in bar charts, scattergrams and list window
Options include:
Continuous character state
Percent missing data
Compositional Bias
(AT/GC bias)
Instability of taxon's relationships among trees
Trees
Trees used in calculations can come from:
Trees stored in files and/or edited by users
Simulations of speciation or population genetics
Equal rates Markovian speciation
Equal rate speciation with subsequent sampling
Equiprobable trees
Coalescence simulations
Coalescence simulations within divergent population history
Randomizations of trees
Randomly augmented tree (taxa added, useful to explore value of further sampling)
Randomly rarefied tree
Reshuffled terminals
Randomly resolve polytomies
Add random noise to branch lengths
Randomly rearrange some branches
Exhaustive enumerations
All rerootings of given tree
All SPR or NNI rearrangements of given tree
Consensus trees
Strict (with
TSV
)
Transformations of trees coming from other sources
Filtered trees coming from other sources
Trees containing given clade
Trees having a given value (e.g. symmetry, treelength, etc.) greater or less than number specified
Tree properties
branch lengths
branch widths
(e.g. effective population sizes)
footnotes and names can be assigned to branches
hyperlinks to branches
internal unbranched nodes allowed
other properties can be added (branch color, etc.)
Tree manipulation
Tools in tree window
to:
Move branches
Collapse to polytomy
Reroot
Cut clade
Insert unbranched nodes
Reroot using outgroup
Adjust branch lengths
Interactive adjustment
Menu items to assign or scale branch lengths
Ultrametricize
Selection of branches
Indivdually
Select all in clade
Concatenate or extract tree blocks
Tree viewing
Windows
Tree Window
: interactive browsing and editing of trees
Multi Tree window
: simultaneous viewing of several trees
Mirror Tree window
: same tree viewed in mirror image to compare two analyses
Dependent tree window: an extra view of tree in Tree Window
display results of analyses (e.g., ancestral state reconstruction)
can show
stored
or
live-simulated
trees
Tree display
Tree shapes
Diagonal branches
Square branches
Balls & Sticks
(allows
pie diagrams
at nodes for likelihood)
Curvogram
Circular tree
Plotting tree in
2D
or
3D
space
Can vary
colors
, fonts, sizes,
orientation
Statistics for trees
Can be viewed in
bar charts
, scattergrams, list window and Tree Window
Options include:
treelength (parsimony)
asymmetry of tree
similarity with other tree or trees
fit of gene tree with species tree
correlation between two characters
estimated parameters of character evolution under tree
Other features
Windows have both a
graphics
and a
text view
; text view gives detailed results of calculations
Scripting language
with loops and variables
List windows
allow management of taxa, characters, trees, and other objects
select objects
delete objects
set properties of objects (e.g., assign weights to characters)
view statistics of objects
File formats
NEXUS is native format
Import/export of other file formats
NONA/Hennig86 (.ss)
NBRF
FASTA
CLUSTAL
PHYLIP
POY
Simple tables
Pagel (Multistate/Discrete)
"Simple NEXUS" files for MrBayes
Auto-documentation
Web pages composed automatically to indicate use of tools and menus
Explanations
of options embedded in choice dialogs
Constructing tutorials and lab exercises
Navigator for tutorials and examples
Notes window
Image window
Can add links to web pages in navigator, tree window
Javascript Required
You need to enable Javascript in your browser to edit pages.
help on how to format text
Turn off "Getting Started"
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List of Features
Below is a brief outline of Mesquite features. Many of the links within the outline take you to screenshots, some of which show older versions of Mesquite. To see features recently added to Mesquite, see the manual page on new features.Overview
Primary entities are taxa (which may represent species, genes, samples, and so on), characters (features or variables), and trees.Analyses
Characters
- likelihood
- parsimony steps
- Likelihood-estimated parameters of character evolution
Percent missing (unassigned)Taxa
Trees
Other features