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List of phylogenetics software

(Redirected from Phylogenetic software)

This list of phylogenetics software is a compilation of computational phylogenetics software used to produce phylogenetic trees. Such tools are commonly used in comparative genomics, cladistics, and bioinformatics. Methods for estimating phylogenies include neighbor-joining, maximum parsimony (also simply referred to as parsimony), unweighted pair group method with arithmetic mean (UPGMA), Bayesian phylogenetic inference, maximum likelihood, and distance matrix methods.

List

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Name Description Methods Author
ADMIXTOOLS[1] R software package that contains the qpGraph, qpAdm, qpWave, and qpDstat programs Nick Patterson, David Reich
AncesTree[2] An algorithm for clonal tree reconstruction from multi-sample cancer sequencing data. Maximum Likelihood, Integer Linear Programming (ILP) M. El-Kebir, L. Oesper, H. Acheson-Field, B. J. Raphael
AliGROOVE[3] Visualisation of heterogeneous sequence divergence within multiple sequence alignments and detection of inflated branch support Identification of single taxa which show predominately randomized sequence similarity in comparison with other taxa in a multiple sequence alignment and evaluation of the reliability of node support in a given topology Patrick Kück, Sandra A Meid, Christian Groß, Bernhard Misof, Johann Wolfgang Wägele.
ape[4] R-Project package for analysis of phylogenetics and evolution Provides a large variety of phylogenetics functions Maintainer: Emmanuel Paradis
Armadillo Workflow Platform[5] Workflow platform dedicated to phylogenetic and general bioinformatic analysis Inference of phylogenetic trees using Distance, Maximum Likelihood, Maximum Parsimony, Bayesian methods and related workflows E. Lord, M. Leclercq, A. Boc, A.B. Diallo and V. Makarenkov
BAli-Phy[6] Simultaneous Bayesian inference of alignment and phylogeny Bayesian inference, alignment as well as tree search M.A. Suchard, B. D. Redelings
BATWING[7] Bayesian Analysis of Trees With Internal Node Generation Bayesian inference, demographic history, population splits I. J. Wilson, Weale, D.Balding
BayesPhylogenies[8] Bayesian inference of trees using Markov chain Monte Carlo methods Bayesian inference, multiple models, mixture model (auto-partitioning) M. Pagel, A. Meade
BayesTraits[9] Analyses trait evolution among groups of species for which a phylogeny or sample of phylogenies is available Trait analysis M. Pagel, A. Meade
BEAST[10] Bayesian Evolutionary Analysis Sampling Trees Bayesian inference, relaxed molecular clock, demographic history A. J. Drummond, M. A. Suchard, D Xie & A. Rambaut
BioNumerics Universal platform for the management, storage and analysis of all types of biological data, including tree and network inference of sequence data Neighbor-joining, maximum parsimony, UPGMA, maximum likelihood, distance matrix methods,... Calculation of the reliability of trees/branches using bootstrapping, permutation resampling or error resampling L. Vauterin & P. Vauterin.
Bosque Integrated graphical software to perform phylogenetic analyses, from the importing of sequences to the plotting and graphical edition of trees and alignments Distance and maximum likelihood methods (through PhyML, PHYLIP, Tree-Puzzle) S. Ramirez, E. Rodriguez.
BUCKy Bayesian concordance of gene trees Bayesian concordance using modified greedy consensus of unrooted quartets C. Ané, B. Larget, D.A. Baum, S.D. Smith, A. Rokas and B. Larget, S.K. Kotha, C.N. Dewey, C. Ané
Canopy[11] Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing Maximum Likelihood, Markov Chain Monte Carlo (MCMC) methods Y. Jiang, Y. Qiu, A. J. Minn, and N. R. Zhang
CGRphylo[12] CGR method for accurate classification and tracking of rapidly evolving viruses Chaos Game Representation (CGR) method, based on concepts of statistical physics Amarinder Singh Thind, Somdatta Sinha
CITUP Clonality Inference in Tumors Using Phylogeny Exhaustive search, Quadratic Integer Programming (QIP) S. Malikic, A.W. McPherson, N. Donmez, C.S. Sahinalp
ClustalW Progressive multiple sequence alignment Distance matrix/nearest neighbor Thompson et al.[13]
CoalEvol Simulation of DNA and protein evolution along phylogenetic trees (that can also be simulated with the coalescent) Simulation of multiple sequence alignments of DNA or protein sequences M. Arenas, D. Posada
CodABC Coestimation of substitution, recombination and dN/dS in protein sequences Approximate Bayesian computation M. Arenas, J.S. Lopes, M.A. Beaumont, D. Posada
Dendroscope[14] Tool for visualizing rooted trees and calculating rooted networks Rooted trees, tanglegrams, consensus networks, hybridization networks Daniel Huson et al.
EXACT[15][16] EXACT is based on the perfect phylogeny model, and uses a very fast homotopy algorithm to evaluate the fitness of different trees, and then it brute forces the tree search using GPUs, or multiple CPUs, on the same or on different machines Brute force search and homotopy algorithm Jia B., Ray S., Safavi S., Bento J.
EzEditor[17] EzEditor is a java-based sequence alignment editor for rRNA and protein coding genes. It allows manipulation of both DNA and protein sequence alignments for phylogenetic analysis Neighbor Joining Jeon, Y.S. et al.
fastDNAml Optimized maximum likelihood (nucleotides only) Maximum likelihood G.J. Olsen
FastTree 2[18] Fast phylogenetic inference for alignments with up to hundreds of thousands of sequences Approximate maximum likelihood M.N. Price, P.S. Dehal, A.P. Arkin
fitmodel Fits branch-site codon models without the need of prior knowledge of clades undergoing positive selection Maximum likelihood S. Guindon
Geneious Geneious provides genome and proteome research tools Neighbor-joining, UPGMA, MrBayes plugin, PhyML plugin, RAxML plugin, FastTree plugin, GARLi plugin, PAUP* Plugin A. J. Drummond, M.Suchard, V.Lefort et al.
HyPhy Hypothesis testing using phylogenies Maximum likelihood, neighbor-joining, clustering techniques, distance matrices S.L. Kosakovsky Pond, S.D.W. Frost, S.V. Muse
IQPNNI Iterative ML treesearch with stopping rule Maximum likelihood, neighbor-joining L.S. Vinh, A. von Haeseler, B.Q. Minh
IQ-Tree[19] An efficient phylogenomic software by maximum likelihood, as successor of IQPNNI and Tree-Puzzle Maximum likelihood, model selection, partitioning scheme finding, AIC, AICc, BIC, ultrafast bootstrapping,[20] branch tests, tree topology tests, likelihood mapping Lam-Tung Nguyen, O. Chernomor, H.A. Schmidt, A. von Haeseler, B.Q. Minh
jModelTest 2 A high-performance computing program to carry out statistical selection of best-fit models of nucleotide substitution Maximum likelihood, AIC, BIC, DT, hLTR, dLTR D. Darriba, GL. Taboada, R. Doallo, D. Posada
JolyTree[21][22] An alignment-free bioinformatics procedure to infer distance-based phylogenetic trees from genome assemblies, specifically designed to quickly infer trees from genomes belonging to the same genus MinHash-based pairwise genome distance, Balanced Minimum Evolution (BME), ratchet-based BME tree search, Rate of Elementary Quartets A. Criscuolo
LisBeth Three-item analysis for phylogenetics and biogeography Three-item analysis J. Ducasse, N. Cao & R. Zaragüeta-Bagils
MEGA Molecular Evolutionary Genetics Analysis Distance, Parsimony and Maximum Composite Likelihood Methods Tamura K, Dudley J, Nei M & Kumar S
MegAlign Pro MegAlign Pro is part of DNASTAR's Lasergene Molecular Biology package. This application performs multiple and pairwise sequence alignments, provides alignment editing, and generates phylogenetic trees. Maximum Likelihood (RAxML) and Neighbor-Joining DNASTAR
Mesquite Mesquite is software for evolutionary biology, designed to help biologists analyze comparative data about organisms. Its emphasis is on phylogenetic analysis, but some of its modules concern comparative analyses or population genetics, while others do non-phylogenetic multivariate analysis. It can also be used to build timetrees incorporating a geological timescale, with some optional modules. Maximum parsimony, distance matrix, maximum likelihood Wayne Maddison and D. R. Maddison
MetaPIGA2 Maximum likelihood phylogeny inference multi-core program for DNA and protein sequences, and morphological data. Analyses can be performed using an extensive and user-friendly graphical interface or by using batch files. It also implements tree visualization tools, ancestral sequences, and automated selection of best substitution model and parameters. Maximum likelihood, stochastic heuristics (genetic algorithm, metapopulation genetic algorithm, simulated annealing, etc.), discrete Gamma rate heterogeneity, ancestral state reconstruction, model testing Michel C. Milinkovitch and Raphaël Helaers
MicrobeTrace MicrobeTrace is a free, browser-based web application. 2D and 3D network visualization tool, Neighbor-joining tree visualization, Gantt charts, bubbles charts, networks visualized on maps, flow diagrams, aggregate tables, epi curves, histograms, alignment viewer, and much more. Ellsworth M. Campbell, Anthony Boyles, Anupama Shankar, Jay Kim, Sergey Knyazev, Roxana Cintron, William M. Switzer[23]
MNHN-Tree-Tools MNHN-Tree-Tools is an opensource phylogenetics inference software working on nucleic and protein sequences. Clustering of DNA or protein sequences and phylogenetic tree inference from a set of sequences. At the core it employs a distance-density based approach. Thomas Haschka, Loïc Ponger, Christophe Escudé and Julien Mozziconacci[24]
Modelgenerator Model selection (protein or nucleotide) Maximum likelihood Thomas Keane
MOLPHY Molecular phylogenetics (protein or nucleotide) Maximum likelihood J. Adachi and M. Hasegawa
MorphoBank Web application to organize trait data (morphological characters) for tree building for use with Maximum Parsimony (via the CIPRES portal), Maximum Likelihood, and Bayesian analysis) O'Leary, M. A., and S. Kaufman,[25] also K. Alphonse
MrBayes Posterior probability estimation Bayesian inference J. Huelsenbeck, et al.[26]
Network Free Phylogenetic Network Software Median Joining, Reduced Median, Steiner Network A. Roehl
Nona Phylogenetic inference Maximum parsimony, implied weighting, ratchet P. Goloboff
PAML Phylogenetic analysis by maximum likelihood Maximum likelihood and Bayesian inference Z. Yang
ParaPhylo[27] Computation of gene and species trees based on event-relations (orthology, paralogy) Cograph-Editing and Triple-Inference Hellmuth
PartitionFinder Combined selection of models of molecular evolution and partitioning schemes for DNA and protein alignments Maximum likelihood, AIC, AICc, BIC R. Lanfear, B Calcott, SYW Ho, S Guindon
PASTIS R package for phylogenetic assembly R, two‐stage Bayesian inference using MrBayes 3.2 Thomas et al. 2013[28]
PAUP* Phylogenetic analysis using parsimony (*and other methods) Maximum parsimony, distance matrix, maximum likelihood D. Swofford
phangorn[29] Phylogenetic analysis in R ML, MP, distance matrix, bootstrap, phylogentic networks, bootstrap, model selection, SH-test, SOWH-test Maintainer: K. Schliep
Phybase[30] an R package for species tree analysis phylogenetics functions, STAR, NJst, STEAC, maxtree, etc L. Liu & L. Yu
phyclust Phylogenetic Clustering (Phyloclustering) Maximum likelihood of Finite Mixture Modes Wei-Chen Chen
PHYLIP PHYLogeny Inference Package Maximum parsimony, distance matrix, maximum likelihood J. Felsenstein
phyloT Generates phylogenetic trees in various formats, based on NCBI taxonomy none I. Letunic
PhyloQuart Quartet implementation (uses sequences or distances) Quartet method V. Berry
PhyloWGS Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors MCMC A. G. Deshwar, S. Vembu, C. K. Yung, G. H. Jang, L. Stein, and Q. Morris
PhyML[31] Fast and accurate estimation of phylogenies using maximum likelihood Maximum likelihood S. Guindon & O. Gascuel
phyx[32] Unix/Linux command line phylogenetic tools Explore, manipulate, analyze, and simulate phylogenetic objects (alignments, trees, and MCMC logs) J.W. Brown, J.F. Walker, and S.A. Smith
POY A phylogenetic analysis program that supports multiple kinds of data and can perform alignment and phylogeny inference. A variety of heuristic algorithms have been developed for this purpose Maximum parsimony, Maximum likelihood, Chromosome rearrangement, discreet characters, continuous characters, Alignment A. Varon, N. Lucaroni, L. Hong, W. Wheeler
ProtASR2[33] Ancestral reconstruction of protein sequences accounting for folding stability Maximum likelihood, substitution models M. Arenas, U. Bastolla
ProtEvol Simulation of protein sequences under structurally constrained substitution models Simulating sequences, substitution models M. Arenas, A. Sanchez-Cobos, U. Bastolla U
ProteinEvolver Simulation of protein sequences along phylogenies under empirical and structurally constrained substitution models of protein evolution Simulating sequences forward in time, substitution models M. Arenas, H.G. Dos Santos, D. Posada, U. Bastolla
ProteinEvolverABC[34] Coestimation of recombination and substitution rates in protein sequences Approximate Bayesian computation M. Arenas
ProtTest3 A high-performance computing program for selecting the model of protein evolution that best fits a given set of aligned sequences Maximum likelihood, AIC, BIC, DT D. Darriba, GL. Taboada, R. Doallo, D. Posada
PyCogent Software library for genomic biology Simulating sequences, alignment, controlling third party applications, workflows, querying databases, generating graphics and phylogenetic trees Knight et al.
QuickTree Tree construction optimized for efficiency Neighbor-joining K. Howe, A. Bateman, R. Durbin
RAxML-HPC Randomized Axelerated Maximum Likelihood for High Performance Computing (nucleotides and aminoacids) Maximum likelihood, simple Maximum parsimony A. Stamatakis
RAxML-NG[35] Randomized Axelerated Maximum Likelihood for High Performance Computing (nucleotides and aminoacids) Next Generation Maximum likelihood, simple Maximum parsimony A. Kozlov, D. Darriba, T. Flouri, B. Morel, A. Stamatakis
SEMPHY Tree reconstruction using the combined strengths of maximum-likelihood (accuracy) and neighbor-joining (speed). SEMPHY has become outdated. The authors now refer users to RAxML, which is superior in accuracy and speed. A hybrid maximum-likelihood – neighbor-joining method M. Ninio, E. Privman, T. Pupko, N. Friedman
SGWE Simulation of genome-wide evolution along phylogenetic trees Simulating genome-wide sequences forward time Arenas M., Posada D.
SimPlot++[36] Sequence similarity plots (SimPlots[37]), detection of intragenic and intergenic recombination events, bootscan analysis[38] and sequence similarity networks SimPlot using different nucleotide/protein distance models; Phi, χ2 and NSS recombination tests; Sequence similarity network analysis S. Samson, E. Lord, V. Makarenkov
sowhat[39] Hypothesis testing SOWH test Church, Ryan, Dunn
Splatche3[40] Simulation of genetic data under diverse spatially explicit evolutionary scenarios Coalescent, molecular evolution, DNA sequences, SNPs, STRs, RFLPs M. Currat et al.
SplitsTree[41] Tree and network program Computation, visualization and exploration of phylogenetic trees and networks D.H. Huson and D. Bryant
TNT Phylogenetic inference Parsimony, weighting, ratchet, tree drift, tree fusing, sectorial searches P. Goloboff et al.
TOPALi Phylogenetic inference Phylogenetic model selection, Bayesian analysis and Maximum Likelihood phylogenetic tree estimation, detection of sites under positive selection, and recombination breakpoint location analysis Iain Milne, Dominik Lindner et al.
TreeGen Tree construction given precomputed distance data Distance matrix ETH Zurich
TreeAlign Efficient hybrid method Distance matrix and approximate parsimony J. Hein
TreeLine Tree construction algorithm within the DECIPHER package for R Maximum likelihood, maximum parsimony, and distance E. Wright
Treefinder[42] Fast ML tree reconstruction, bootstrap analysis, model selection, hypothesis testing, tree calibration, tree manipulation and visualization, computation of sitewise rates, sequence simulation, many models of evolution (DNA, protein, rRNA, mixed protein, user-definable), GUI and scripting language Maximum likelihood, distances, and others Jobb G, von Haeseler A, Strimmer K
Tree-Puzzle[43][44] Maximum likelihood and statistical analysis Maximum likelihood Makarenkov
T-REX (Webserver)[45] Tree inference and visualization, Horizontal gene transfer detection, multiple sequence alignment Distance (neighbor joining), Parsimony and Maximum likelihood (PhyML, RAxML) tree inference, MUSCLE, MAFFT and ClustalW sequence alignments and related applications Boc A, Diallo AB, Makarenkov V
UShER[46] Phylogenetic placement using maximum parsimony for viral genomes Maximum parsimony Turakhia Y, Thornlow B, Hinrichs AS, De Maio N, Gozashti L, Lanfear R, Haussler D and Corbett-Detig R
UGENE Fast and free multiplatform tree editor GUI with PHYLIP 3.6 and IQTree algorithms Unipro
VeryFastTree[47] A highly-tuned tool that uses parallelizing and vectorizing strategies to speed inference of phylogenies for huge alignments Approximate maximum likelihood César Piñeiro. José M. Abuín and Juan C. Pichel
Winclada GUI and tree editor (requires Nona) Maximum parsimony, ratchet K. Nixon
Xrate Phylo-grammar engine Rate estimation, branch length estimation, alignment annotation I. Holmes

See also

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References

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  43. ^ Makarenkov V (July 2001). "T-REX: reconstructing and visualizing phylogenetic trees and reticulation networks". Bioinformatics. 17 (7): 664–8. doi:10.1093/bioinformatics/17.7.664. PMID 11448889.
  44. ^ Schmidt HA, Strimmer K, Vingron M, von Haeseler A (March 2002). "Tree-Puzzle: maximum likelihood phylogenetic analysis using quartets and parallel computing". Bioinformatics. 18 (3): 502–4. doi:10.1093/bioinformatics/18.3.502. PMID 11934758.
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  46. ^ Turakhia Y, Thornlow B, Hinrichs AS, De Maio N, Gozashti L, Lanfear R, Haussler D, Corbett-Detig R (June 2021). "Ultrafast Sample Placement on Existing Trees (UShER) Empowers Real-Time Phylogenetics for the SARS-CoV-2 Pandemic". Nature Genetics. 53 (6): 809–816. doi:10.1038/s41588-021-00862-7. PMC 9248294. PMID 33972780.
  47. ^ Piñeiro, César; Abuín, José M; Pichel, Juan C (2020-11-01). Ponty, Yann (ed.). "Very Fast Tree: speeding up the estimation of phylogenies for large alignments through parallelization and vectorization strategies". Bioinformatics. 36 (17): 4658–4659. doi:10.1093/bioinformatics/btaa582. ISSN 1367-4803. PMID 32573652.
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